Dataset Versions

v6

2024-09-12 4:16am

Generated on Sep 12, 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.
Other Formats
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Dataset Split

Train Set 87%
5301Images
Valid Set 8%
506Images
Test Set 5%
277Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±13° Horizontal, ±15° Vertical
Hue: Between -24° and +24°
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 4px
Noise: Up to 0.1% of pixels

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