Dataset Versions

v1

2022-10-02 2:48am

Generated on Oct 1, 2022

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%
11775Images
Valid Set 8%
1125Images
Test Set 4%
550Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px