Dataset Versions

v5

2024-05-03 12:59pm

Generated on May 3, 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.
Other Formats
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Dataset Split

Train Set 84%
1400Images
Valid Set 10%
160Images
Test Set 6%
99Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±0° Vertical
Saturation: Between -6% and +6%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2px

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