Dataset Versions

v4

2024-08-03 12:18am

Generated on Aug 3, 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 99%
5971Images
Valid Set 1%
34Images
Test Set 1%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -21% and +21%
Brightness: Between -17% and +17%
Blur: Up to 2.5px
Noise: Up to 1.56% of pixels

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