Dataset Versions

v3

2024-02-15 3:38am

Generated on Feb 15, 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 95%
5079Images
Valid Set 4%
187Images
Test Set 1%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±9° Horizontal, ±8° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -19% and +19%
Exposure: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 4.73% of pixels
Mosaic: Applied

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