Some questions about Pascal Voc Evaluation index
- Dominant language
- Python
- Stars
- 57
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Thank you for your work, I would like to know that in your work, Table 7 is about the performance on VOC. May I ask whether these evaluation indicators, such as AP and AP50, are calculated according to the COCO dataset?
When I independently trained RetinaNet-RestNet50 on VOC dataset without distillation, if according to the evaluation index of COCO, AP only reached 54.1, but AP50 could reach 82.4, I am quite confused about this. Could you please give me some suggestions.
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Research direction
No files, tests, or entry points are identified. Start by checking the evaluation setup for VOC and COCO and the reported AP and AP50 values; done means documenting which metric definitions and dataset conventions produce the results in Table 7.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100