Dataset Versions

v2

2023-10-16 5:35pm

Generated on Oct 16, 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 88%
8289Images
Valid Set 8%
789Images
Test Set 4%
394Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 5% of pixels
Mosaic: Applied

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