Dataset Versions

v2

2024-01-05 12:46am

Generated on Jan 4, 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 94%
4287Images
Valid Set 5%
224Images
Test Set 1%
56Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Brightness: Between -15% and +15%
Blur: Up to 2.9px
Noise: Up to 5.48% of pixels
Cutout: 2 boxes with 24% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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