Dataset Versions

v5

2024-11-17 10:49am

Generated on Nov 17, 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 94%
729Images
Valid Set 6%
50Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±24° Horizontal, ±29° Vertical
Hue: Between -26° and +26°
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Noise: Up to 7% of pixels