Labelled dataset of animal images for detecting their presence on streets
Published: 23 April 2024| Version 1 | DOI: 10.17632/fk29shm2kn.1
Contributors:
Karan Mehta, , , Kailas PATILDescription
The Safety of street animals is a critical issue as it highlights the importance of technology in human-animal interaction. This dataset highlights the significance of understanding and enhancing the safety of street animals through the lens of machine learning applications, particularly focusing on using night vision images to detect and identify these animals in urban environments. This study aims to contribute to developing innovative technologies that can improve the detection and monitoring of animals, thereby reducing the risk of accidents and enhancing their safety.
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Institutions
Shah and Anchor Kutchhi Engineering College, Vishwakarma Institute of Technology
Categories
Cat, Dog, Object Detection, Rabbit, Goat, Sheep, Deer, Domestic Animals, Deep Learning, Animal Protection