Dataset Versions

v2

2024-05-20 12:38pm

Generated on May 20, 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 87%
732Images
Valid Set 9%
75Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 0.9px
Noise: Up to 0.58% of pixels

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