Busabase
Busabase is an open-source (MIT) database and workspace for AI agents — data, docs, skills, and apps in one place. Run it locally, self-host it inside your network, or use Busabase Cloud, and turn age
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正在載入完整 README。 以下為已儲存的摘錄。
A framework and CLI tool to build, transform, and analyze datasets.
• Dataset reading, writing, conversion in any direction.
• CIFAR-10/100 (classification)
• Cityscapes
• COCO (image_info, instances, person_keypoints,
captions, labels, panoptic, stuff)
• CVAT
• ImageNet
• Kitti (segmentation, detection,
3D raw / velodyne points)
• LabelMe
• LFW (classification, person re-identification,
landmarks)
• MNIST (classification)
• Open Images
• PASCAL VOC
(classification, detection, segmentation, `action_classificati檢視完整 README ↗A framework and CLI tool to build, transform, and analyze datasets.
VOC dataset ---> Annotation tool
+ /
COCO dataset -----> Datumaro ---> dataset ------> Model training
+ \
CVAT annotations ---> Publication, statistics etc.
Dataset reading, writing, conversion in any direction.
classification)image_info, instances, person_keypoints,
captions, labels, panoptic, stuff)segmentation, detection,
3D raw / velodyne points)classification, person re-identification,
landmarks)classification)classification, detection, segmentation, action_classification, person_layout)bboxes, masks)bboxes)Other formats and documentation for them can be found here.
Dataset building
occluded annotations from imagestrain, val, and test:
Dataset quality checking
Dataset comparison
Dataset statistics (image mean and std, annotation statistics)
Check the design document for a full list of features. Check the user manual for usage instructions.
Feel free to open an Issue, if you think something needs to be changed. You are welcome to participate in development, instructions are available in our contribution guide.