Dataset Versions

v4

2023-01-11 1:53pm

Generated on Jan 11, 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.
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Dataset Split

Train Set 87%
1779Images
Valid Set 8%
171Images
Test Set 4%
84Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -10% and +10%
Noise: Up to 3% of pixels