ritikamahajan

yolovc3vi

Object Detection

yolovc3vi Image Dataset

v1

2022-06-25 2:44pm

Generated on Jun 25, 2022

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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 80%
3980Images
Valid Set 17%
834Images
Test Set 4%
182Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±22° Horizontal, ±19° Vertical
low-light-images
1973 images
low-light-images
987 images
low-light-images
745 images