Comments (1)
- We use SLICO superpixels to create masks, which can be converted to boxes. But note that SLICO produces very regular regions and you are more interested in Selective Search or EdgeBox proposals, which we don't use. (but code can be found online)
- No. We use existing human-annotated captions. If you want that, you need to look for image captioning works.
- No. We also have an 'unlabeled' label, which we use if none of the other labels applies.
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Related Issues (20)
- error occured when extracting the file HOT 10
- is it possible to add an additional class on the dataset ? HOT 1
- Annotation tool HOT 11
- .mat to .png conversion on dataset annotation files HOT 6
- Could you share the trained Deeplab models? HOT 1
- prepare my own data as cocostuff HOT 1
- Loading this dataset by using pycocotools HOT 5
- Convert to Yolo forman HOT 2
- when I look at the classes it only shows the stuff classes in the annotations. HOT 7
- extractThings Problem HOT 2
- Can I use this on an image ? HOT 2
- gasonMex undefined HOT 1
- How can I use this tool to annotate another dataset? HOT 3
- Matlab command convertAnnotationsDeeplab() doesn't work HOT 1
- How can I visualize my DeepLab test results? HOT 1
- How about the full class list of older cocostuff1.0? HOT 1
- How to extract only the png from mat ? HOT 1
- How many total classes show I consider during one-hot encoding the segmentation maps? HOT 1
- why isn`t download data coco now ? HOT 1
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