YOLOv8: How to Train for Object Detection on a Custom Dataset

YOLOv8 is the latest installment of the highly influential YOLO (You Only Look Once) architecture. YOLOv8 was developed by Ultralytics, a team known for its work on YOLOv3 and YOLOv5.
Following the trend set by  YOLOv6 and YOLOv7, we have at our disposal object detection, but also instance segmentation, and image classification. The model itself is created in PyTorch and runs on both the CPU and GPU. As with YOLOv5, we also have a number of various exports such as TF.js or CoreML.
In this video, I'll take you through a step-by-step tutorial on Google Colab, and show you how to train your own YOLOv8 object detection model.
Chapters:
0:00 Introduction
0:51 Overview
3:09 Setting up the Python environment
5:36 New API: CLI vs. Python SDK
8:51 Prepare the YOLOv8 object detection dataset
12:29 Train YOLOv8 model on custom dataset
13:54 YOLOv8 model evaluation
16:47 YOLOv8 model inference on images and videos
18:44 YOLOv8 model deployment and inference via hosted API
19:58 Conclusion
Resources:
🌏 Roboflow: roboflow.com
🌌 Roboflow Universe: universe.roboflow.com
📝 How to Train YOLOv8 Object Detection on a Custom Dataset Blogpost: blog.roboflow.com/how-to-trai...
📓How to Train YOLOv8 Object Detection on a Custom Dataset Notebook: colab.research.google.com/git...
⭐ YOLOv8 repository: github.com/ultralytics/ultral...
📄 YOLOv8 docs: v8docs.ultralytics.com
📓 Learn more about YOLOv8 and other Computer Vision models with Roboflow Notebooks: github.com/roboflow/notebooks
🎬 Automatically Label Computer Vision Data: • Image Labeling API | A...
🆕 What's New in YOLOv8 Architecture: blog.roboflow.com/whats-new-i...
💯 RF100 Dataset blog.roboflow.com/roboflow-100
Stay up to date with the projects I'm working on at github.com/roboflow and github.com/SkalskiP! ⭐

[@matheusmartins1000]

Good diction, i'm currently learning English, and I find your pronunciation much easier to understand compared to most people, not sure why. Great video!

[@goodtechdoor]

Epic, waiting on the next parts. Cheering for Roboflow & Ultralytics teams !

[@ayanpaul8173]

Thank you Roboflow!! Always keeps us updated🤝🤝

[@Roboflow]

Thank you for wanting to be updated!

[@kevinwoodrobotics]

Great video! Definitely useful to train your own dataset since yolov8 was originally trained on COCO so it may not work for special applications!

[@AndroidDjRealEDM]

Finally is really simple to use for industrial projects!

[@SkalskiP]

Exactly!

[@anujjain4406]

Thank you Brother , The Roboflow is just Amazing and super easy to use.

[@iMJKhan]

Thanks for your efforts. How to generate a confusion matrix if the training is stopped due to no improvements in loss?

[@razorphone77]

When you train a model, the weights are saved in the runs folder correct? We do not have to upload to roboflow? Also using v5 you used to be able to put custom data sets in a certain place in the directory structure which you reference with a data.yaml file. Is this not the case anymore? Where are the datasets stored now? Is it no longer on the local machine in the directory? Do we have to use roboflow and upload there? Thanks

[@sujinyang4373]

This video has made my DL work so much easier! Thx for the great tutorial on YoloV8 and connecting it to Roboflow workflow😊😊

[@SkalskiP]

Hi! It's peter from the video. Thats what I wanted to hear! 💜

[@shivamgoel0897]

Great video! very helpful to get started with Yolov8

[@dinesh7637]

good job Roboflow and Ultralytics team... I want similar videos in docker... Thank you

[@hggaming911]

Very simple and useful… Thank you so much

[@Roboflow]

Stay tuned, we will soon post YOLOv8 instance segmentation too ;)

[@blackwhalestudio]

if you want to seperate the teams would you do that in the labelling (annotation) when preparing the dataset or later in the algorithm based on for example the jersey color? Thanks for the great video!

[@red-bluelife]

Yes, you would need to do the annotation, but the model will predict poorly on new teams.

[@ozgurkan]

You are the best. Roboflow 💙

[@giridharidash9528]

00:05 Yellow V8 is the latest object detection model that fine tunes much faster than its predecessors 02:29 Yellow V3 and Yellow V5 repositories have almost 45,000 stars on GitHub and will solve previous issues in the Yellow V8 project. 04:58 Importing Yolo from ultralytics and running inference 07:36 Creating a dataset for training the YOLO model using Roboflow 10:16 Use Cinema to label images and create a dataset for training 13:00 The training has been completed and the results are satisfactory. 15:41 Training the models could take longer and yield better results. 18:04 Yellow V8 model can be trained and deployed for inference using a single line of code. 20:16 Comparing yellow V8 to previous object detection models Crafted by Merlin AI.

[@rohanpokale4651]

Hello.. I trained a model on YOLOv8 and it worked very well. I had a question. Like I wanted to make some changes in the Predict file when I was running yolov8 in my system locally on CLI. I wanted to integrate a alarm system when any thing is detected. So I wanted the location of the Predict file. I have download the ultralytics repo in my pc.

[@SkalskiP]

Hi 👋It is Peter from video! If you want to do changes, I encourage you not to install via pip but clone repo and install it the old way.

[@hbrt10]

hi, thank you for the documentation. I have a problem about predict images. i trained my model and predict image grayscale but i come into view error : ValueError: axes don't match array. What should I do? I must predict image grayscale.

[@muhammadrizwanmunawar]

Nicely explained!

[@SkalskiP]

Thank you!

[@Agronomistapolo]

Could you explain how to edit the bounding box to visualize them with a better appearance?

[@Roboflow]

Did you try our supervision pip package? We offer custom annotators for bounding boxes there.

[@aleksandramelnik4862]

It was soooo helpful! Thank you!

[@Roboflow]

I love to hear that!

[@lynguyenminhOfficial]

That is a great tutorial! Thanks sir.

[@Roboflow]

Thanks a lot!

[@janwawrzacz5647]

Jest trochę ten polski akcent 😄, świetnie wytłumaczone!

[@user-cj2dh7vc6s]

hi! thank you for the great video. how can i write down the confusion matrix summary?

[@tryingtobeproductive]

easy tutorial to follow, thanks!

[@Roboflow]

Awesome!

[@pruthvidarshanss1586]

Hey, in the video at 11:26, u said that u have posted the links in the description but i couldn't find that link. Can u please check for that link? It will be very helpful for me.

[@abd-alrhmanabdallah8388]

How can I prepare dataset_params if I have a dataset structured as follows: Vid1/images and labels, Vid2/images and labels, and so on up to Vid100? The dataset consists of multiple videos, with each video stored in its own folder.

[@Latzim2]

Awesome video and I can hardly wait to train a few models for V8. Only issue I saw however is that the datasets I had for v5 models won't work for v8? Am I missing something or some of the training images and labels format chnaged ? I tried to run a training session for v8 using a dataset exactly as I had it for v5 but it throws an error about the lables. Something along the lines that labels are not actually available ? Can you please give me a short hint on what do I have to do to train a model in v8 using the very same dataset I used for v5? I'd like to compare the behaviur of V8 to V5 and this would the best way of doing it. Obviously if I load the images into roboflow and annotate using that there are no issues at all all works fine. Awesome work and thank you for the video .

[@Roboflow]

There is no change when it comes to actual labels - the txt files are exactly the same. However YOLOv8 team decided to change path management logic. Your dataset contain also a data.yaml file. And inside you’ll find train, test and val paths. If I’m not mistaken you need to change them to train/images, test/images and valid/images respectively. In short to relative paths from dataset root directory to image subdirectories.

[@Latzim2]

@@Roboflow Okay. Thanks . I'll try that and see what happens 🙂

[@judesequeira1643]

do we need to specify device=none parameter while training to access GPU even after changing GPU settings under Runtime bar in Colab? When i execute training even after changing to GPU settings under runtime tab, i get device=none mentioned in the output of training

[@luizgarcia3878]

How did you added the labels at the video? When I try using a test video it does the process and shows the classification but the video remain the same

[@user-mx8rf2uw6v]

can we run live inferencing on yolov8 models without using ultralytics library like we used to in previous version of yolov5? I want to setup the codebase for just running inferencing without using the ultralytics library.

[@omerkaya5669]

I trained our network with custom dataset. The training period lasted a long time. I want to test the performance of my test set with the network I trained at another time. Is there any other solution than retraining the network?

[@MarceloSEO]

on 18:08 you mentioned that you downloaded the result and played the video. Do you mind sharing how to do that?

[@thilakcm1527]

Amazing video! i had a doubt though. You said we could directly upload the images along with the annotations. I uploaded images (png files), but I am unable to upload the annotation files (.json files). any suggestions?

[@SkalskiP]

Hi! It is Peter from the video. Sorry I didn'. noticed your comment previously. Are you still experiencing those problems?

[@thilakcm1527]

@@SkalskiP unfortunately yes. i have a dataset with images and their corresponding .json files annotating bounding boxes for the objects to be classified. since this is a large dataset, I cannot manually annotate boxes like you showed in this video. hence I am trying to upload the .json files, but I'm unsure as to why this doesn't work

[@SkalskiP]

@@thilakcm1527 and this is standard COCO json?

[@thilakcm1527]

@@SkalskiP yes

[@thilakcm1527]

@@SkalskiP any clue on what i can do?

[@wordpreneur6059]

Hi, thanks for the great knowledge and information you have provided. Please could you help use the custom model created to create an app/UI using Streamlit or Flask with Webcamp?

[@Willow.448]

what is the best.pt file? ı just downloaded it and closed everything else. did ı save my model? can ı use it?

[@user-gg6ue7qt2l]

Hello, thanks for the amazing tutorial. the older version of roboflow is working fine but I could not figure out why is the the roboflow 1.0.1 or later throwing following error just by importing it. TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'

[@Roboflow]

Could you please create new issue here: github.com/roboflow/notebooks/issues and give me a bit more detail?

[@poushalinag7942]

Hey, for my dataset its taking so much time to train the model and i am running out of GPU limits, earlier i was getting error in training but i added batch size 8 ,now its training the model but taking too much time and GPU. Can u suggest what should i do?

[@evanshlom1]

Can this work with raspberry pi? (Pi4b with thermal camera.

[@hchattaway]

Iam new to YOLO and object detection.... What is the relationship between YOLO and PyTorch? This video didn't mention PyTorch but in other tutorials on YOLO, PyTorch was brought up but it was not clear how they integrate or if that is even needed...Any help is greatly appreciated!

[@SkalskiP]

Hi it is Peter from video! PyTorch is a general framework used to build neural networks. YOLO is one of neural networks that is written in PyTorch.

[@hchattaway]

@@SkalskiP oh! YOLO is written in pytorch! Didn't know that... So no other separate processing by pytorch is needed, thanks!

[@FatemehZaremehrjardi]

Thanks! I tested the model on some images I can see the results in text but the bounding boxes on the pictures won't save.

[@SkalskiP]

Hi it is Peter from the video. I just updated our notebook for object detection. Could you check one more time? The issue should be fixed now :)

[@user-qi1mf5gj4r]

Thanks for the fantastic video. My prediction picture data won't store in /runs/detect/predict at the moment I run with mode=predict. What should I do? I repeatedly ran my code, but it failed to save. Your advice is essential. thank you in advance.

[@Roboflow]

Try to use save=True parameter

[@yaelmarom6619]

thank you so much

[@meryem8634]

thank you for great video :)

[@Roboflow]

Thanks a lot for watching :)

[@kemalkartal366]

hello, Can we add the object trained with the custom dataset to the other 80 object YOLO weights? As a single weight of 80+1. Can we increase the weight of the existing 80 objects? thanks. normally yolo weight consists of 80 objects. Can we add new objects to objects of this weight by training with custom datasets?

[@sholehuye2737]

Sorry sir, permission to ask if the code that runs on google collab can be run on pycham

[@RAZZKIRAN]

thank you, useful, great content

[@Roboflow]

Thanks a lot!

[@RAZZKIRAN]

@@Roboflow welcome sir, getting errors at code, please solve sir

[@Roboflow]

@@RAZZKIRAN I'm happy to help. Could you please create a thread on ours discussions page: github.com/roboflow/notebooks/discussions/categories/q-a ?

[@728239]

What is the best way to resize images to 640x640? Is it stretching or resizing keepeing proporions?

[@thearpitkatiyar637]

What algo you are using with yolo for image detection

[@kunalthapar4603]

Hey. I annotated some 60 odd images. but once I am done, i can't see the "submit for review" option at the top left. what do i do?

[@mohammadhaadiakhter2869]

Did you use pre-train model on COCO dataset and just updated the weights or did you actually created a new instance YOLOv8?

[@Roboflow]

Hi! If I understand your question correctly, you ask if we used transfer learning or not?

[@mohammadhaadiakhter2869]

@@Roboflow No no, it was something else, but now I am encountering the same error as Rachaer CR ERROR-Error executing job with overrides I also used my own dataset. Please help

[@Roboflow]

@@mohammadhaadiakhter2869 could you create a issue here: github.com/roboflow/notebooks/issues? It would be great if you could include link to your version of notebook.

[@mohammadhaadiakhter2869]

@@Roboflow Just one more thing from ultralytics import YOLO model = YOLO("yolov8n.pt") import cv2 import numpy as np cap=cv2.VideoCapture(0) while cap.isOpened(): ret,frame=cap.read() results=model(frame) cv2.imshow('frame',np.squeeze(results.render)) if cv2.waitKey(10)& 0xFF==ord('q'): break cap.release() cv2.destroyAllWindows() I am encountering an OS error, any idea how to solve it?

[@Roboflow]

@@mohammadhaadiakhter2869 is that your help request here: github.com/roboflow/notebooks/discussions/44

[@iyshwaryakannan6677]

Hi, I have trained my model with 10 classes, but in case if I want to detect only a specific class by getting the input from the user what should be modified. I tried passing it as an argument and it worked out. But when I tried using # integer input class_to_be_detected = int(input()) # print type print(type(class_to_be_detected)) when I tried pass 'class_to_be_detected' in class argument I am getting error as 'TypeError: new(): invalid data type 'str'' Please help me with the same

[@kuaranir2440]

Thank you RoboFlow! Please how to show in this case number of detected objects on the test image?

[@Roboflow]

We have this exact example in the supervision readme. Take a look: github.com/roboflow/supervision?tab=readme-ov-file#-quickstart

[@tektronix475]

wow thx!

[@mayaltaee2963]

Hello, how can I assess the yolov8 model with test dataset where I can get Recall , Precision, mAP, confusion matrix, curvs, and accurecy.

[@venkatasubramaniat7163]

is there any detailed blog or tutorial for yolov8 classification. with custom dataset. am having problem with data parameter in model.train

[@esooghazy]

Me too! It raises FileNotFound: None error

[@anren7445]

at 13:45 you can utilize gpu by typing "device=0" so it can train faster

[@Roboflow]

Doesn’t it train by default on GPU if it is accessible?

[@user-ti2cv7bw5y]

Hey so when I'm running the video, the model is detecting the objects and the count frame by frame. But I'm not able to see the video to see which objects it detect. Can you please help me out?

[@Roboflow]

Do you pass show=True ?

[@fatmanursefer1482]

Hello, I collected data with video to use in my project. Can I use this video to train my model or do I need to train the model using only photos? If I can use it, how should I label the data in this video? I would appreciate it very much if you could help me on this issue.

[@omerkaya5669]

I have uploaded video for object detection. However it takes a very long time to download the analyzed video. How can i shorten this time? Or how can i watch without downloading?

[@Liz_871]

Do you think YOLOv8 is able to differentiate between individual raccoons with a dataset containing 130 individuals and 7500 pictures? Each individual would be one class.

[@red-bluelife]

Just try this experiment. At least, the model would be able to differentiate between some of them. I would be happy to see the results!

[@muza886]

I used my trained model path "project.version(dataset.version).deploy(model_type="yolov8", model_path=f'{HOME}/runs/detect/train3/')"

[@merzaguiboumedienabdelouhe2435]

can we use this model directly in our machine after the training ? and how ?

[@robinchriqui2407]

Thank you very much it worked very well with my own custom dataset, I have a question how do you download the result on the video?

[@Roboflow]

You mean from Colab?

[@robinchriqui2407]

I just had save and it worked, yes from collab

[@omerkaya5669]

Could you send the video? predict part is not coming.

[@Roboflow]

@@omerkaya5669 could you be a bit more specific?

[@omerkaya5669]

@@Roboflow %cd {HOME} !yolo task=detect mode=predict model={HOME}/runs/detect/train2/weights/last.pt conf=0.1 source=/content/25km.mp4 I run this code, but I can't see where the video is saved.

[@jojis4950]

Hi, thank you for the lovely video. Although I am getting this error when I initiate training: FileNotFoundError: Dataset '/content/project_name/data.yaml' not found ⚠, missing paths ['/content/datasets/project_name/valid/images']

[@Roboflow]

Hi 👋🏻 could you create a bug report here: github.com/roboflow/notebooks? Please provide us with as many details as possible.

[@themuppetman3671]

This happens to a lot of the files for some reason, it also did it for 'predict3' and required a change to ''predict2'. I'm not sure whether this is intentional or not : |

[@themuppetman3671]

@@Roboflow For me this occurred because the 'train' file (/runs/detect/train/weights/best.pt) was displaced for some reason. All the weights had saved to 'train3'rather than the preestablished location within the given code. Try and find where the files are saving and change the file destinations (i.e., from /runs/detect/train/weights/best.pt to /runs/detect/train3/weights/best.pt).

[@afrahthahir7179]

Is this working good in real time rtsp stream fetched from CCTV cameras??

[@SkalskiP]

Hi it is Peter from video! 👋Honestly I haven't checked that out, but it sounds like a very good topic for next tutorial video.

[@afrahthahir7179]

@@SkalskiP yes please do that for the next video.

[@CantPickTheNameIwant]

​@@afrahthahir7179just keep in mind that it works good mostly on big size objects

[@pcsolutionsezcloudsystems5929]

After extracting the downloaded dataset zip file (from my roboflow account), to which folder (following this video) should I upload the valid, train and test folders and, the data.yaml and README text files?

[@Roboflow]

Dou you use manual download or pip package?

[@pcsolutionsezcloudsystems5929]

@@Roboflow I used manual download from the roboflow online app. I click the "Export Dataset" button. Then select "YOLO8" format. Then select "download zip to computer" option and finally click the "Continue" button. Trouble is, the snippet I copied/pasted into my Colab crashed when ran because it does not include a workspace name. :(

[@Ban22_COC]

With the roboflow deplyement, is it possible to get the weighs or smh so it can run offline on the computer? because using the api we need to be online. Or do i need to like dowloads the weights from the google collabs training?

[@LucasBarbosa-bp6mg]

Did you find an answer?

[@LucasBarbosa-bp6mg]

I also Wanna know

[@sathwiksathish2242]

Hey man! Still trying to figure out where you drag and dropped the images from.If anybody knows,do let me know. Thanks in advance :)

[@serverxeon]

Is there something wrong with your code, or did recent ultralytics version change break the code?

[@Roboflow]

Do you experience some problems now?

[@amarnathreddysurapureddy9111]

Hi, is yolo using Standardscale for image detection

[@snehitvaddi]

Hey, Peter! Is there a way that I can download this trained weights and use it with module like OpenCV for real-time inference? Else would you mind sharing other ways of testing in real-time?

[@Roboflow]

Hi 👋🏻 you mean train YOLOv8 but run it in OpenCV alone?

[@snehitvaddi]

@@Roboflow I feel OpenCV makes it easy to get input through webcam and do inference on top. But I'm open to explore any other packages that can take real-time input.

[@Roboflow]

@@snehitvaddi I suggest to use OpenCV and YOLOv8 combo

[@snehitvaddi]

@@Roboflow Thank you. And do you have any plans of making a tut on OpenCV + Yolov8 on real-time video feed? If not can you make one (if that's viable for you)?

[@Roboflow]

@@snehitvaddi we already have video like that. Actually even 2 :)

[@VsZero-wb6eo]

Hi Mate When I run the code in the last section it's says https is forbidden and How Can I run video and detect object like you ? or Can I Detect Live with Web Cam ?

[@muhdirshat9858]

hello, i have some problems on confusion matrix part where the font size that shows number in that confusion matrix is too small and quite hard to read. is there any way that i can make the font size on that confusion matrix bigger? is there any modification on the code?

[@Roboflow]

No. But you can use supervision confusion matrix: github.com/roboflow/supervision

[@HashirAKhan]

My question is, once we train on custom classes will Yolo only predict those classes or the pre-existing classes in Yolo will also be there in our predictions?

[@Roboflow]

It will only detect the new classes.

[@HashirAKhan]

@@Roboflow so how can we add custom classes to yolov8?

[@Roboflow]

@@HashirAKhan so you want to keep the old and add new?

[@HashirAKhan]

@@Roboflow yes exactly! Like keep the old classes and add the new ones.

[@HashirAKhan]

@@Roboflow So basically reinforcement learning, using the old weights and new weights, do you have any tutorial on that?

[@lofihavensongs]

Hi, I used several types of augmentation on my dataset and after that check the image batch file, in some cases, the batch image was re-scale and resized to very small images, do you have any idea about that? and is it possible that this re-scaling affects the accuracy ??

[@Roboflow]

Hi! What do you mean by very small? What was the resolution?

[@lofihavensongs]

@@Roboflow I mean the image size is 800*800 but the batch image, for example, is just 10% of the size of the original image and the other part is empty!

[@DigiDriftZone]

@@lofihavensongs It seems YoloV8 has a maximum size of 1280x1280 but maybe Roboflow has a limitations of just 800x800? - Hopefully Roboflow will reply.

[@DigiDriftZone]

Subsequently found this: The maximum image size recommended for Roboflow Train is 1280x1280 for most projects and 1024x1024 for Semantic Segmentation projects. However, for the vast majority of use cases, 640x640 is best (512x512 for Semantic Segmentation projects) source. If you have images larger than this, it is recommended to employ Tiling as a preprocessing step.

[@zeeshantahir2610]

Can we convert annotated JPEG images into VOC data format?

[@ecaleks17]

So I’m new to all of this, I’m assuming this is all in python, is there any way to turn this from .pt files to .pb files

[@lorenzoleongutierrez7927]

great !

[@ranggayogiswara5148]

The option to export in yoloV8 format is now available. Do I still have to export the annotated dataset to yoloV5?

[@Roboflow]

Good question. It is better if you'll export in YOLOv8 format.

[@tahirakazmi6337]

nice

[@seanolivieri4829]

How can I make yolov8 detect only the highest confidence interval class for a given class? IE. filter all the players and just display the player with most confidence interval?

[@rutho.6282]

Cool

[@muhdnajhan886]

can you show with the coordinate please at the bounding box . I am very need that

[@CuongLeTrung-hf3uv]

I have finished training my custom dataset using yolov8 and have successfully tested some images, so how can I get the coordinates of the bounding box of those images?

[@houdabekkourialami3581]

Hello, did you find a way?

[@JohnJevyAlimpolos]

is there custom train for pose estimation?

[@chelappankumar3187]

There is no submit for review option now what to do to annotate the objects for rest all images

[@debeshbiswas1672]

while running inference on a custom dataset i get this error: TF-TRT Warning: Could not find TensorRT. After then it detects properly. I just don't get the visual of its detection!

[@entertainmentvideos1281]

hello sir i have one probelm i train it on 100 epochs but when it perform detection on video or test images .. then detection have been completed but the predict folder cannot make ..means the output video or test images are no where

[@SkalskiP]

Hi it is Peter from the video. I just updated our notebook. Could you check if you still experience that issue?

[@ms9167ms]

Hey what about pose detection training??

[@entertainmentvideos1281]

hello sir after detection there is no predict directory where my video and test images are stored... detection on video perform and completed successfully but predict directory is not

[@SkalskiP]

Hi it is Peter from video. I just pushed slightly updated version of our notebook. I think you should not experience that problem now. Could you take a look?

[@user-qh8zh3fx8n]

Thanks for your video ! When I tried to train the polar panels dataset on roboflow, I got the following error. How can I fix it? Thanks !! Sizes of tensors must match except in dimension 1. Expected size 1364 but got size 0 for tensor number 1 in the list. Sentry is attempting to send 2 pending error messages

[@roobeshbalaji9282]

Hello! Quick question, when trying to deploy the model, I'm getting the message "an error occured when getting the model upload URL: This version has a trained model. Please generate and train a new version in order to upload model to Roboflow." How can I fix this?

[@Roboflow]

Hi, it is Peter from the video. 👋For now, we only allow one model version to be tied with one version of the dataset. Looks like you already have some models tied with that version of dataset.

[@roobeshbalaji9282]

@@Roboflow I'm not sure exactly. I ran the colab file pretty along with you following the video, except I made my own dataset how you showed it in the video and used the api information from that. Pretty much ran the rest of the colab file as is.

[@Roboflow]

@@roobeshbalaji9282 can you send me link to your dataset?

[@navedmeraz5748]

what is imgsz here in *****!yolo task=detect mode=train model=yolov8s.pt data={dataset.location}/data.yaml epochs=25 imgsz=800 plots=True*****. Does my value of imgsz depend on something according to my inputs?

[@krishangshah9446]

How long does it take in processing model upload during deploying a model on roboflow?

[@Roboflow]

Around 5 minutes. Is there a problem?

[@gabrielmedeiros9880]

is there a way to download the model?

[@fatihcihantaskin6328]

Hello, I am trying to make the same application with a different dataset. In the "Training" section, I get the error "boolean index did not match indexed array along dimension 0; dimension is 1 but corresponding boolean dimension is 9" and train section stops. how can i solve this?

[@Roboflow]

Hi! Are you using our notebook for training with no changes other than your dataset? Do you use dataset loaded from Roboflow?

[@fatihcihantaskin6328]

Yes im using dataset from roboflow. Everything same except dataset. But i have a error.

[@Roboflow]

@@fatihcihantaskin6328 could you please create issue here: github.com/roboflow/notebooks/issues? It would help us to track this issue. Please make sure to give us as much detail as you can.

[@carloshahnperez9388]

Hello, I am new into YOLO v8 and I am struggling with this error: Invalid NAL unit size (87283 > 70815). Error splitting the input into NAL units. stream 0, offset 0x304054: partial file. Can someone tell me what that means and how can I fix it? It happens when I try to run an mp4 after doing every step. Thanks for the video, awesome tutorial!!! :)

[@Roboflow]

Hi 👋🏻 Is that happening when you run that video processing in our notebook?

[@rachealcr6752]

is that possible for the yolov8 train model to implement in MATLAB?

[@Roboflow]

I’m afraid not.

[@narsilberkay]

Output of the predict method doesn't give the location of the predicted images, how can i fix it ?

[@Roboflow]

Add save=True to your command

[@user-xd3pd8cy4q]

guys after inferencing I am not getting where the results are storing. And after inferencing also it is not showing. Please help me through this