Detectron2 on Custom Dataset | Object Detection Using Detectron2

28 thoughts on “Detectron2 on Custom Dataset | Object Detection Using Detectron2”

• It is detecting only ballon not the person .How it will detect baloon and person (this class present in coco dataset)at the same time.

• This video is very useful to me. Please explain how to create our own dataset..

• how can we get approx size of the object? or is there any way to do it? can it be done while labelling the images if yes then how?

• Knowing how to code and knowing how to teach others to code…well done. Thank you.

• Thank you so much for this tutorial, please can you refer me to the VGG annotation tutorial. I have a custom dataset I'd love to annotate. Please can VGG also do a batch annotation or I have to do it manually for each Image. I have about 9000 images

• When using my own .json file in the COCO format, I get a "TypeError: list indices must be integers or slices, not str." In the block of code that checks if the dataset has been loaded properly

• Hello, I'm getting the error "ModuleNotFoundError: No module named 'detectron2.engine' ", I believe it's due to the cloning error that I also received "fatal: destination path 'detectron2' already exists and is not an empty directory." I'm running Jupiter notebook in Anaconda environment, and before running I, conda -c condo-forge detectron2 the library. any installation advice?

• Hello,
  How can we use this model trained on custom dataset for a flask app? I'm a bit confused. For YOLO we exported best.pt file.
  
  How to proceed for detectron 2?

• is there a way to train from scratch?

• this channel is really underrated. You are doing a noble job and we appreciate your work so much. Keep up.

• THIS CODE NOT WORKINGG!!!

• Hi thanks for the video! what did you set the working directory as in your Jupyter Notebook

• Hi. I need to detect circles in a custom model. I have annonated the training images using labelme. It gives 2 no pairs in the json. Can you pls help in how to modify the code for circle detection. Its giving an error as not polygon with current code. Thanks

• Very detailed tutorial. Can you please please make video on how can we evaluate this model?

• how to run inference on a folder of images locally from a pretrained model and cfg?

• Mam, i have annotation file in csv format. like what you did it in yolov5 custom dataset video. do i need to convert it to json format mam?

• Mam is there any way we can get to know the best .pth model and calculate val loss during training just like yolov5.

• Hello mam I have one question if I want to use custom dataset having high resolution and which is already present in the Coco for example object "car" so what are initial step I should perform .

• Do we have an inference script for detectron2 to run on images? For instance segmentation

• Maybe its the problem, you have only positive dataset and no negative one?

• Hello, do you know if it possible to use a .pkl file for this custom training?

• i want to buy rtx3090 for detectron2 project, as you know its not cheap at all , dose any one knows detectron2 runs on rtx3090 or not? Thx a lot

• Thx for your great tutorials, I've got a question, can i convert h5 to pth file and vice versa ?

• video title for object detection and code for instance segmentation

• Thank you for the explanation, I have one one question. When visualizing the prediction results,
  v = Visualizer(im[:, :, ::-1],
  
  metadata=balloon_metadata,
  
  scale=0.5,
  
  instance_mode=ColorMode.IMAGE_BW

  the metmetadata=balloon_metadata which was defined above as balloon_metadata = MetadataCatalog.get("balloon_train") , do we only define this for training dataset or also for validation dataset?

• Mam I need to purchase how to contact you

• Nice explanation mam pl add it to deep learning play list so it can refer anytime 😊

• Thnks mam, nice explanation.

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