Dataset Versions

v10

2024-05-22 8:28pm

Generated on May 23, 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 46%
564Images
Valid Set 4%
45Images
Test Set 2%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Blur: Up to 1.5px

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