Dataset Versions

v4

2024-03-18 3:13pm

Generated on Mar 18, 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 76%
3288Images
Valid Set 12%
521Images
Test Set 12%
525Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1.8% of pixels

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