Dataset Versions

v1

2022-06-21 10:41pm

Generated on Jun 22, 2022

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 89%
1962Images
Valid Set 8%
177Images
Test Set 3%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 600x600

Augmentations

Outputs per training example: 3
Shear: ±18° Horizontal, ±18° Vertical
Hue: Between -36° and +36°
Exposure: Between -14% and +14%
Blur: Up to 1.5px
Noise: Up to 7% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 28% Maximum Zoom
Bounding Box: Brightness: Between -18% and +18%
Bounding Box: Exposure: Between -21% and +21%