Underwater Drowning Detection Dataset

Underwater Drowning Detection Dataset

<p dir="ltr"><b>Underwater Drowning Detection Dataset</b><br>This dataset contains 5,613 manually annotated underwater images for drowning detection research, captured in controlled swimming pool environments. It provides a balanced distribution of three behavioral...

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Hlavní autor: Hamad Alzaabi (21673788) (author)
Další autoři: Saif Alzaabi (21673791) (author), Sarah Kohail (21673658) (author)
Vydáno: 2025
Témata:
Artificial intelligence not elsewhere classified
Computer vision
Machine learning not elsewhere classified
drowning detection
underwater computer vision
aquatic safety
object detection
YOLO dataset
swimming behavior analysis
water safety
AI safety systems
underwater imaging
behavioral classification
emergency detection
pool safety
computer vision dataset
deep learning
safety technology
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