333 - An introduction to YOLO v8​

This video explains the basics of YOLO v8 and walks you through a few lines of code to help explore YOLO v8 for object detection and instance segmentation using pre-trained weights. More information about YOLO v8 can be found here.
docs.ultralytics.com/models/y...
Code generated in this video is available here: github.com/bnsreenu/python_fo...

[@xenoaiandrobotics4222]

Your videos are too good. One of the best teaching . Calm and detailed

[@AI_and_Robotics_World]

One of the best teacher i have ever seen in my life ❤❤❤

[@saranshgautam6551]

Excited to learn about Yolo v8!! Looking forward to more videos and implementations!

[@caiyu538]

I like YOLO v5/v8 team. They are very supportive in case you have a problems using their software. YOLO is great to do object detection.

[@tamerzohdy8589]

Thanks a lot for this tutorial We have waited a lot for it

[@awaisahmad5908]

one of the best teachers I have ever got 😊

[@programmingwiththotho4641]

thank you for the gorgeous explanation

[@THE8SFN]

your video is super helpful.thank you

[@kamaleon204]

Is the next video going to go over multi-class training for YOLOv8? This is something I've been trying to find info about but haven't be able to find anything about it yet.

[@stekim]

Do you know if it’s possible to create a box around an entire object, even if it’s partially obfuscated, with yolo v8? Or do we need to use a completely different model?

[@palurikrishnaveni8344]

I am following your videos. Most of the codes you implemented in the Spyder environment. Can I perform this Yolo in Spyder?

[@sanamakbari1370]

Thankyou so much for your useful videos, could you please make a new video about Denoising Diffusion Implicit Models (DDIM) for augmentation?

[@hawkingradiation3774]

great video i was training custom yolov8 segmentation model, but as yolov8 segmentation requires to have minimum of 3 pairs in annotation in its data i wasnt able to move ahead with it as i just created rectangle bounding box using polygon tool it had only two pair. do you have any tips that how can i increase the pairs from 2 to 3 without annotating them as the dataset was quite large. does yolov8 support mask images instead of the yolo format datatype? as i can create the binary masks for them using my current annotations and would really like to try yolov8 for segmentation

[@astitva5002]

have you tried annotating on roboflow? you can import yolo annotations and edits accordingly as well. also I don't think yolo supports masks but i may be wrong i have never really looked deeply into it

[@hawkingradiation3774]

i dont want to upload my datset, roboflow makes public dataset in the free trial@@astitva5002

[@anammanzoor1166]

Hi Sreeni !can you please make one of the video on Deformable Convolution neural network by implementing UNET?

[@briandignan]

Thanks!

[@DigitalSreeni]

thank you very much Brian. I hope you are finding my tutorials useful and educational.

[@user-ov7iz2gg6g]

Would you talk about implementing object detection using yolov8? especially the possible hints to get higher mAP on a custom dataset?

[@DigitalSreeni]

already did. Please check video 334.

[@user-ov7iz2gg6g]

@@DigitalSreeniI appreciate your response, sure I’ll check it.🙏🏻

[@pjoshi_15]

The size of the mask image/array is differentn from the input image size in instance segmentation results object. How to deal with this? Any tips?

[@mayaltaee2963]

Hello, I traind the yolov8 (detect) on custom dataset now how can I assess the yolov8 model with test dataset where I can get Recall , Precision, mAP, confusion matrix, curvs, and accurecy.

[@user-nz5vp2px9d]

the object detection tuto its also done?

[@geospatial90]

Sir, I want to extract tree crown segmentation using YOLO8 but after prediction, my result is that the maximum tree contains 2/3 polygon, it should be a single polygon. I want to show the output but how can I show it?

[@Forouzan_Khalouei2001]

Please record the course about dictionary learning🙏🙏

[@khadidjaboudjoras4569]

I CANNOT UNDERSTAND, can you explain that to us? Self-Supervised Learning Tasks and SimCLR