YOLOV5

yolov5_test

Object Detection

yolov5_test Image Dataset

v5

2024-06-02 7:09pm

Generated on Jun 2, 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
1046Images
Valid Set 8%
100Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied

Augmentations

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