Dataset Versions

v13

2024-06-18 6:19pm

Generated on Jun 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 89%
171Images
Valid Set 8%
15Images
Test Set 3%
6Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 10% of images
Hue: Between -21° and +21°
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Noise: Up to 1.84% of pixels