Dataset Versions

v8

obstacle_v5_320

Generated on Apr 24, 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 91%
22186Images
Valid Set 4%
921Images
Test Set 2%
449Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x192

Augmentations

Outputs per training example: 7
Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%