Dataset Versions

v5

Beta Testing V1

Generated on Apr 29, 2024

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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 88%
909Images
Valid Set 8%
83Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +25%
Exposure: Between -12% and +12%
Noise: Up to 0.73% of pixels

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