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A General Toolbox for Identifying Object Detection Errors

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I have made a bbox detection coco label my hand. label_B.json is this: ![image](https://user-images.githubusercontent.com/36354458/104325046-26512300-5523-11eb-8676-837d2e305ce7.png) when run datasets.COCO('label_B.json'), it gets this error: ![image](https://user-images.githubusercontent.com/36354458/104324980-15081680-5523-11eb-8b74-7e85475f3179.png)

in the Error.show() method, there is a dataset with some functions(such as get_img_with_anns, cat_name). I don`t know how to define it. Could you please tell me how to use it?

How can I use it to analyze my own dataset?

Hey @dbolya, I used my own dataset according to #9. However, I got slightly better results compared to pycocotools because gt images with no objects are ignored. How can I...

Hi, How can I compare detections across bounding box areas, similar to Fig .5 Comparison of Scales between HTC and TridentNet in your paper? Thanks!

Hi, First thanks for developing this tool. Instead of utilizing the model prediction, I tried using a ground truth as both a ground truth and a prediction value. In this...

Hi, I tried to run evaluate_range for TIDE.MASK but gave an error : --> list input can be bounding box (Nx4) or RLEs ([RLE]) my dataset dict was like this...

In my dataset i have one half as COCO dataset and other half as custom added dataset. So now, how should i check performance of model? Can you please explain...

Hi, How can I compare detections across bounding box areas, similar to _Fig .5 Comparison of Scales between HTC and TridentNet_ in your paper? Thanks!

Badly trained algorithms might not return detections at all. Tide should return meaningful results in this case instead of crashing on line: https://github.com/dbolya/tide/blob/49a5d2a4aeb56795e93a3ed7cc7e6d25757bb4c1/tidecv/ap.py#L150 With a quick search, I see several...