Dataset Versions

v1

2024-09-04 4:48am

Generated on Sep 4, 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 95%
825Images
Valid Set 5%
48Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -10% and +10%
Exposure: Between -6% and +6%
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels

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