Dataset Versions

v14

2024-11-14 1-20pm

Generated on Nov 14, 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.
Other Formats
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Dataset Split

Train Set 95%
1329Images
Valid Set 3%
41Images
Test Set 2%
30Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±11° Horizontal, ±11° Vertical
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.1% of pixels

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