Dataset Versions

v15

2024-11-13 7:15pm

Generated on Nov 13, 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%
20867Images
Valid Set 4%
852Images
Test Set 2%
425Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x720

Augmentations

Outputs per training example: 7
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Blur: Up to 3.8px
Noise: Up to 1.8% of pixels

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