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**Describe the bug**
I've labelled a dataset which has only 1 class for the purpose of semantic segmentation. The annotations are being rendered correctly in the label studio and I am able to export …
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### Actions before raising this issue
- [X] I searched the existing issues and did not find anything similar.
- [X] I read/searched [the docs](https://docs.cvat.ai/docs/)
### Steps to Reproduce…
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I want to use faster-rcnn to do object detection instead of mask rcnn for splitting, now it always shows insufficient video memory, in fact my video memory still has space, maybe there is a problem wi…
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Hello, I currently have my own dataset labeled with labelme, which has been converted to Coco format. The list is as follows:
${DATASET_ROOT} # 数据集根目录，例如：/home/username/data/NWPU
├── annotations
…
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Hi,
First of all thanks for this great work.
I would like to run the few shot model on my dataset. I have a single object dataset with tens of tagged images and a lot more of non-tagged images. …
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I've been trying to evaluate my YOLO models using this tool but I can't seem to get the AP to calculate. Attached below are the coco-labels and the results.json that I've created matching the example …
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Thank you for your wonderful works and excellent repository.
Based on the document, I was able to reproduce the result.
But how did you convert the original annotation to the converted polygonal ann…
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The annotations made by the application could employ a slightly modified version of the COCO format, so that transitioning into a COCO-Compliant spec is straightforward
## Output File Structure
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In the RetinaNet script ([see current PR](https://github.com/axondeepseg/axon-detection/pull/13/files#diff-36eb7e5494967483667a49335251c973075a7779a8494740e26cf2b63ca6ea87)), an error is thrown in the…