Dataset Versions

v5

12.04Agumented

Generated on Apr 12, 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 89%
10203Images
Valid Set 7%
822Images
Test Set 4%
408Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±20° Vertical
Blur: Up to 3px
Noise: Up to 1.92% of pixels
Cutout: 3 boxes with 10% size each