Dataset Versions

v4

2024-08-08 7:04am

Generated on Aug 8, 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.
Other Formats
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Dataset Split

Train Set 88%
1128Images
Valid Set 8%
106Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 0.93% of pixels

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