Dataset Versions

v2

2024-03-02 10:35am

Generated on Mar 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 89%
2238Images
Valid Set 8%
204Images
Test Set 3%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -9° and +9°
Saturation: Between -33% and +33%
Brightness: Between -27% and +27%
Exposure: Between -10% and +10%
Noise: Up to 1.25% of pixels
Cutout: 3 boxes with 10% size each

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