Dataset Versions

v5

2024-05-13 3:39pm

Generated on May 13, 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 94%
6405Images
Valid Set 4%
296Images
Test Set 1%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -26% and +26%
Brightness: Between -23% and +23%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.89% of pixels

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