Dataset Versions

v3

1class-2024-07-11 2-22am

Generated on Jul 11, 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 93%
14502Images
Valid Set 4%
682Images
Test Set 3%
475Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -12° and +12°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.1% of pixels

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