Dataset Versions

v1

2024-10-17 6:46am

Generated on Oct 17, 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 88%
5010Images
Valid Set 8%
477Images
Test Set 4%
238Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -45° and +45°

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