Dataset Versions

v2

2023-07-17 1:22pm

Generated on Jul 17, 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.
Other Formats
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Dataset Split

Train Set 87%
1038Images
Valid Set 8%
100Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -19% and +19%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Noise: Up to 1% of pixels
Mosaic: Applied

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