Dataset Versions

v3

2024-05-07 5:23pm

Generated on May 7, 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.
Other Formats
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Dataset Split

Train Set 82%
180Images
Valid Set 14%
30Images
Test Set 5%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±12° Vertical
Saturation: Between -29% and +29%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Noise: Up to 1.68% of pixels

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