Dataset Versions

v1

2024-10-10 6:06pm

Generated on Oct 10, 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 92%
1461Images
Valid Set 4%
62Images
Test Set 4%
60Images

Preprocessing

Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -19% and +19%
Brightness: Between -14% and +14%
Exposure: Between -12% and +12%
Noise: Up to 0.08% of pixels

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