Dataset Versions

v6

obstacle_v4_320

Generated on Apr 10, 2024

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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.
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Dataset Split

Train Set 88%
11157Images
Valid Set 4%
457Images
Test Set 2%
225Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320

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%