Dataset Versions

v2

2024-11-22 7:14pm

Generated on Nov 22, 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 98%
7357Images
Valid Set 2%
116Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x240

Augmentations

Outputs per training example: 7
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 1.53% of pixels

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