Dataset Versions

v1

2023-03-01 10:03pm

Generated on Mar 1, 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.
Other Formats
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Dataset Split

Train Set 92%
225Images
Valid Set 4%
10Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 100% of images
Hue: Between -33° and +33°
Saturation: Between -46% and +46%
Brightness: Between -22% and +22%
Exposure: Between -11% and +11%
Noise: Up to 3% of pixels

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