Dataset Versions

v6

2024-11-07 10:37am

Generated on Nov 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 88%
18375Images
Valid Set 8%
1748Images
Test Set 4%
876Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 0.69% of pixels

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