Dataset Versions

v5

2024-02-26 10:31pm

Generated on Feb 26, 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 87%
7425Images
Valid Set 8%
711Images
Test Set 4%
357Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Mosaic: Applied
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.14% of pixels

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