Dataset Versions

v4

2024-11-14 10-14am

Generated on Nov 14, 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 88%
2019Images
Valid Set 8%
187Images
Test Set 4%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 540x540

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 5% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Blur: Up to 4.7px
Noise: Up to 1.92% of pixels
Mosaic: Applied