Dataset Versions

v12

AugNewData_MCandNone640

Generated on May 5, 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 89%
3540Images
Valid Set 7%
286Images
Test Set 4%
143Images

Preprocessing

Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%