Dataset Versions

v4

2023-12-03 3:46am

Generated on Dec 3, 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 80%
1923Images
Valid Set 20%
471Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±22° Horizontal, ±25° Vertical
Saturation: Between -58% and +58%
Brightness: Between -32% and +32%
Blur: Up to 2px
Noise: Up to 15% of pixels