sister i have about 84,000 images and whether i need to annotator for all the images or else i have to select 5-10% of data and if i even select 2000 datas its very hard to annotate such datas how can i overcome it
@SunilPComputerScience7 ай бұрын
hi mam, we are doing project "bell pepper plant disease detection". We want to divide the plant vilage dataset of pepper plant as 5 separate diseases like u did. Can you please help us how can we divede the dataset
@kashif317310 ай бұрын
hello Mam, what I understand is we have trained our model to do segmentation, and then used that segmented images for prediction of its class. if that's so, then what is the accuracy of our predictions we are getting, is this approach right for this kind of problem statement?
@muhammadzeeshan15672 жыл бұрын
Hello how we will use data set without making json file of images
@CodeWithAarohi2 жыл бұрын
You need your dataset annotation file. Without that you can't implement this.
@sridhanyaganapathi28603 ай бұрын
Hi Can you please share the annotated 2000 for training, 400 for test dataset
@rezwan-ul-alam97487 ай бұрын
Which TF version you have used for this one? I have seen some of your videos of Mask RCNN, and I will be starting a project related to image segmentation soon. So I really need to know.
@CodeWithAarohi7 ай бұрын
I have pasted a new requirements.txt file with a name of requirements_new.txt github.com/AarohiSingla/Plant-Disease-Detection-Using-Mask-R-CNN
@khalegh6218 ай бұрын
@CodeWithAarohi Hi dear Aarohi, Thanks for the video. How can I use this model with different backbone?
@CodeWithAarohi8 ай бұрын
You have to make modifications in the code inside mrcnn folder.
@khalegh6218 ай бұрын
@@CodeWithAarohi Thank you, but which part of the mrcnn folder should be modified?
@067_shantanu92 жыл бұрын
Hi maam can you share the annotated dataset, i could not find it in the git repo
@utkarshtripathi91182 жыл бұрын
Hi "my name Is Aarohi and welcome in code with Aarohi" ossm ossm
@CodeWithAarohi2 жыл бұрын
What do you mean?
@utkarshtripathi91182 жыл бұрын
@@CodeWithAarohi Mam have dought is--->> When I label the image data for training YOLO Model then the all images file names should not contains numbers, Sapaces, or any of *()+/^¥÷`√`×¥{ these Right?????? Means All images Names should only contains words .👍
@pifordtechnologiespvtltd56987 ай бұрын
Very good video
@CodeWithAarohi7 ай бұрын
Thanks!
@abuklau94332 жыл бұрын
Can you please share the code and the annotated dataset?
@@CodeWithAarohi ma'am again same. Is the repo private ?
@CodeWithAarohi2 жыл бұрын
Sorry Guys, My Bad. Repo was private. I made it public now.
@CloudxWeb11 ай бұрын
Maam can we apply mask R CNN for mango leaf diseases detection?
@CodeWithAarohi11 ай бұрын
Yes
@bobdaboss13482 жыл бұрын
Hi, can you please make a video on how to validate a mask r-cnn model such as: Calculate precision, recall, mAP score as well as make a confusion matrix and draw precision-recall curves?
@CodeWithAarohi2 жыл бұрын
I have done that part in my previous videos on Mask RCNN. Please check those videos.
@faizolaberuagba353110 ай бұрын
please @Aaarohi how can i get a dataset for lung cancer that i can use for mask RCNN classification
@CodeWithAarohi10 ай бұрын
I don't have any such dataset but you can try searching on internet.
@soravsingla6574 Жыл бұрын
Awesome
@CodeWithAarohi Жыл бұрын
Thanks
@Sandhya_Bytes7 ай бұрын
Mam can i use the same process for landslide detection project..Please reply mam?
@CodeWithAarohi7 ай бұрын
Yes
@ujjwalgulhane9 ай бұрын
Mam, which python version is suitable for this mask R CNN project (plant leave disease)
@CodeWithAarohi9 ай бұрын
I tried it with python 3.8
@aryanjain24382 жыл бұрын
Hello, Do we need to have one single json file for train and val data or individual for every image. I have Individual xml file for each image.
@CodeWithAarohi2 жыл бұрын
Single json file which will have annotation details of all the images
@livechemistryfunda186510 ай бұрын
Hi mam. I have a dataset containing 500 images with five unique labels. For almost 100 images, I have been already given respective masks containing three region,. How to detect masks for others?
@CodeWithAarohi10 ай бұрын
To detect masks on the remaining images using Mask R-CNN, train the Mask R-CNN model using the 100 images with provided masks, then use the trained model to predict masks for the other images. Make sure to preprocess your data correctly and consider refining the predicted masks manually for better accuracy.
@saswatsamal7352 жыл бұрын
Thank you for this great tutorial. Can you please share the downloadable link for the dataset?
@CodeWithAarohi2 жыл бұрын
This dataset is for one of my client. So can't share the dataset.
@_ash_v_tha96702 жыл бұрын
Hi ma'am, I have a doubt, should i use the annotated dataset (like annotated images showed at 6:31) or the json file that was exported from vgg. Please reply ma'am. 🙏🙏 Thank you.
@CodeWithAarohi2 жыл бұрын
Use the exported json file from VGG
@pawangupta89482 жыл бұрын
Ma'am can you please tell us, which tensorflow version you have used? And how can we get the data?
@CodeWithAarohi2 жыл бұрын
tensorflow 1.15, keras 2.2.5, h5py 2.10.0
@10subsonlychallenge662 жыл бұрын
@Ramakrishnan Thiyagu Same what did you do now in order to make it work?
@rforrohitarorasirclasses65002 жыл бұрын
Thanks for this video
@CodeWithAarohi2 жыл бұрын
Most welcome
@shashankmp50172 жыл бұрын
Hi!! Great tutorials.. Can you please help me out how to do the classification using SVM or KNN
@chanchaljunare28088 ай бұрын
How many images of each category are enough for annotation
@CodeWithAarohi8 ай бұрын
Start with 500 images per class and on the basis of results you can further increase.
@Deadsadbad2 жыл бұрын
Hello, thanks for the useful tutorial. If we want to extract the polygon of each mask, how we can do it?
@Deadsadbad2 жыл бұрын
And another question, when i try to print mask i get only "False " as value why?
@gangamadhukarpiska1851 Жыл бұрын
i have one doubt related to vgg annotator i.e what if we have 1000 images in our dataset then how we can annotate that all images together
@CodeWithAarohi Жыл бұрын
You will annotate all the images same way and you will get a json file at the end which will have annototion details of all 1000 images.
@gangapiska688611 ай бұрын
@@CodeWithAarohimeans I have to annotate all the 1000 images one by one..?
@saieshwarturlapati5804 Жыл бұрын
mam,can you please provide train,val dataset
@unknownuser927 Жыл бұрын
Ma'am, where we can get mask_rcnn_coco.h5 file? I can not find it online. And also can we use images outside our dataset after training?
Hi Aaorhi, can you share the annotated dataset, I could not find it in the git repo?
@CodeWithAarohi Жыл бұрын
Dataset you have to prepare yourself
@vikashkumar-cr7ee Жыл бұрын
@@CodeWithAarohi I am asking plant leaf disease using mask rcnn annotations data
@CodeWithAarohi Жыл бұрын
@@vikashkumar-cr7ee this dataset I have prepared for 1 of my Phd client and I can’t share that dataset. You can use vgg annotator tool to annotate your dataset. How to annotate your custom dataset that I have shown in my video.
@vikashkumar-cr7ee Жыл бұрын
@@CodeWithAarohi l wasn't aware of that thanks though
@jagadabiVarshitha-r3x5 ай бұрын
How we create website for it mam
@CodeWithAarohi5 ай бұрын
Check this video: kzbin.info/www/bejne/boS0lHVonMSWppY
@RAZZKIRAN2 жыл бұрын
thank u madam
@CodeWithAarohi2 жыл бұрын
You’re welcome 😊
@manasvinivaya87762 жыл бұрын
i am having an error in train(model) file its showing (venv) D:\Plant-Disease-Detection-Using-Mask-R-CNN-main>python custom.py File "D:\Plant-Disease-Detection-Using-Mask-R-CNN-main\custom.py", line 160 ... """Train the model.""" ^ IndentationError: expected an indented block after function definition on line 159 (venv) D:\Plant-Disease-Detection-Using-Mask-R-CNN-main>
@CodeWithAarohi2 жыл бұрын
This is a indentation error means spaces before the line.
@irishsajan7797 Жыл бұрын
Hi ma'am should we use the vgg annotator on all the images or a single image from each class is enough or are there any methods to create masks for a very large dataset
@CodeWithAarohi Жыл бұрын
You need to use VGG annotator tool to annotate all the objects of all the images.
@tabixh66942 жыл бұрын
Ma'am can you please tell me how we can detect plant disease using MATLAB Software?
@CodeWithAarohi2 жыл бұрын
I never worked on MATLAB.. Sorry
@faicalammisaid3705 Жыл бұрын
is there by any chance you can share data
@KAKULLACHARANSAINITAP8 ай бұрын
can we get the data set u sed mam pls
@CodeWithAarohi8 ай бұрын
From here, you can get datasets related to to plant disease: universe.roboflow.com/search?q=plant%20disease%20detection
@cooltmstatus28182 жыл бұрын
madam can u please share the annotated dataset
@ashwinibalakrishna2299 Жыл бұрын
Can you please share the annotated dataset
@CodeWithAarohi Жыл бұрын
I can't share that. I Have created that for 1 of my client.
@akshitsaini25422 жыл бұрын
can you give us the json file?
@rajivbhokare632 Жыл бұрын
Can u plz send dataset link
@CodeWithAarohi Жыл бұрын
Similar dataset is available on roboflow. You can download from there.
@cmdevil2118 Жыл бұрын
Send the data set
@chitranjankumarrai17992 жыл бұрын
Hello mam...Please share the code and annotated dataset??