Dataset Versions

v1

2023-11-29 10:18pm

Generated on Nov 30, 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 88%
378Images
Valid Set 8%
36Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 40% of images
Hue: Between -68° and +68°
Brightness: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.5px