Dataset Versions

v7

2024-07-25 7:33am

Generated on Jul 25, 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 78%
6009Images
Valid Set 11%
833Images
Test Set 11%
822Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -9° and +9°
Exposure: Between -9% and +9%
Blur: Up to 1.5px
Noise: Up to 0.73% of pixels

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