Total_object_detection_obstacle_and_signs

Object Detection

Dataset Versions

v2

2024-09-04 3:25am

Generated on Sep 4, 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 89%
4839Images
Valid Set 7%
380Images
Test Set 4%
223Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±6° Horizontal, ±8° Vertical
Saturation: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 0.69% of pixels

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