Dataset Versions

v3

2023-07-31 8:13pm

Generated on Jul 31, 2023

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 64%
363Images
Valid Set 18%
100Images
Test Set 18%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -30° and +30°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Cutout: 4 boxes with 10% size each
Mosaic: Applied
Bounding Box: Noise: Up to 5% of pixels

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