Comments (2)
dbolya
commented on August 25, 2024
I'm not sure what you mean by this? IoU already captures very similar information, so Mask localization error should already capture mask quality.
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abhigoku10
commented on August 25, 2024
@dbolya If the prediction mask and gt mask has IOU overlap >0.5 and yet the edges / detail contours of the object are not correct how to estimate the difference between them or basically the difference in the detailed shape of the masks
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Related Issues (20)
- Comparing Across Scale HOT 4
- Custom dataset evaluation HOT 1
- Feature Request: Compress masks as they are added to Data
- Feature Request: Finish statically typing the API HOT 1
- "score" parameter in Data.add_detection is annotated as "int", should probably be "float"
- list input can be bounding box (Nx4) or RLEs ([RLE]) HOT 1
- Crashes with a DivideByZeroError when there are no detections HOT 3
- Even when using the ground truth values as predicted values, there is error. HOT 1
- code of Comparison of Scales HOT 1
- Getting bbox AP @ 50: 0.00 HOT 1
- How to handle images with no ground truth box
- About My dataset HOT 1
- where dataset defines
- Keypoint Evaluation
- Is there any sample code how to evaluate the detections at different scales and classes? Is there a sample how to use the Qualifier class?
- Use case where no segmentation field is present in a COCO file and where COCO result file contains all information about the dataset
- Can I use TIDE on my own dataset - given coco-formatted Ground-Truth and predicted Bounding Boxes? HOT 2
- My Coco files contain no segmentations - only bounding boxes. Why is this incompatible? HOT 1
- The sum of mAP is not 100 HOT 3
- Test Custom Trained Yolov7 Model
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