Dataset Versions

v6

2023-09-06 8:24pm

Generated on Sep 6, 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 82%
1161Images
Valid Set 9%
127Images
Test Set 9%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Hue: Between -137° and +137°
Saturation: Between -50% and +50%
Brightness: Between -34% and +34%
Exposure: Between -11% and +11%

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