Dataset Versions

v3

2024-10-07 11:23pm

Generated on Oct 7, 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%
14793Images
Valid Set 11%
2002Images
Test Set 4%
771Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±4° Vertical
Grayscale: Apply to 17% of images
Hue: Between -16° and +16°
Noise: Up to 1.92% of pixels

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