Dataset Versions

v7

2022-08-10 4:29pm

Generated on Aug 10, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 84%
1044Images
Valid Set 12%
153Images
Test Set 4%
44Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Grayscale: Apply to 40% of images
Saturation: Between -69% and +69%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Cutout: 25 boxes with 8% size each
Mosaic: Applied

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