Dataset Versions

v2

2024-08-06 7:41am

Generated on Aug 6, 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 92%
285Images
Valid Set 5%
16Images
Test Set 3%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -26° and +26°
Shear: ±34° Horizontal, ±30° Vertical
Grayscale: Apply to 100% of images
Hue: Between -55° and +55°
Saturation: Between -78% and +78%
Brightness: Between -60% and +60%
Exposure: Between -39% and +39%
Blur: Up to 4.5px
Noise: Up to 10% of pixels
Cutout: 12 boxes with 12% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 47% Maximum Zoom
Bounding Box: Rotation: Between -27° and +27°
Bounding Box: Shear: ±14° Horizontal, ±19° Vertical
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 9.7px
Bounding Box: Noise: Up to 8.77% of pixels