Dataset Versions

v3

2024-08-30 3:15pm

Generated on Aug 30, 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 92%
1194Images
Valid Set 8%
100Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 10 remapped, 10 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±9° Vertical
Brightness: Between -24% and +24%
Exposure: Between -13% and +13%
Blur: Up to 0.7px
Noise: Up to 0.14% of pixels

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