Dataset Versions

v2

2023-07-06 5:47pm

Generated on Jul 6, 2023

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 78%
1827Images
Valid Set 11%
262Images
Test Set 11%
254Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels