Dataset Versions

v5

2024-11-02 4:46pm

Generated on Nov 2, 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.
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Dataset Split

Train Set 92%
7380Images
Valid Set 4%
300Images
Test Set 4%
300Images

Preprocessing

Static Crop: 19-91% Horizontal Region, 21-70% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -30% and +30%
Exposure: Between -11% and +11%
Blur: Up to 2px
Noise: Up to 1.41% of pixels

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