Dataset Versions

v7

verzia7

Generated on Feb 2, 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 97%
3495Images
Valid Set 3%
105Images
Test Set 1%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Blur: Up to 1.2px
Noise: Up to 1.8% of pixels

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