Dataset Versions

v6

last

Generated on Oct 27, 2024

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.
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Dataset Split

Train Set 97%
117Images
Valid Set 2%
2Images
Test Set 2%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 6 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -28% and +28%
Brightness: Between -20% and +20%
Blur: Up to 1.7px

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