Dataset Versions

v4

2023-05-27 7:54pm

Generated on May 27, 2023

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%
1527Images
Valid Set 9%
154Images
Test Set 4%
71Images

Preprocessing

Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 8% of images
Hue: Between -21° and +21°
Saturation: Between -18% and +18%
Brightness: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 3% of pixels

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