PartImageNet
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TACJu
Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, A...
This is an excellent work! Using cocoapi (https://github.com/cocodataset/cocoapi), I can have this segmentation but not sure how to get the head of the `ibex` only. 
When I convert an object segment into a semantic mask using coco API, I find some intersection areas between the different objects. How should I solve the overleaping area when...
What are the paths of the images which are showed in paper? Could you tell me that of the dog in Figure 1? Thank you.
Thank you very much for sharing the datasets. However, is the annotation "tier" in car and Bicycle should be "tire"?  
Thanks for your excellent work! However, Is there something wrong in Line 18403 - Line 18422 of val.json? When I used coco.annToMask(ann) to visualize its mask, an error was reported.
The current files in the google drive link contains only the annotations. Can you upload the images there as well?
Are any of these images from the original ImageNet validation set, or are they all from the training set?
I notice that each annotation has a field named 'category_id', the total number of all unique 'category_id' is 40, consistently in 'train.json' and 'test.json'. I wonder whether 'category_id' is the...
How is the area being calculated in the annotations? Straightforward method is pixel counting but the area has 2 decimal places. Also pixel counting and the area in annotations are...