Dataset Versions

v4

v3 640x640

Generated on Oct 27, 2023

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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 92%
4296Images
Valid Set 7%
341Images
Test Set 0%
18Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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