Dataset Versions

v2

2024-12-06 8:50am

Generated on Dec 6, 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 94%
13304Images
Valid Set 3%
413Images
Test Set 3%
393Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 4
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Noise: Up to 0.1% of pixels

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