markolalovic/pedestrian-detection
Pedestrian detection for autonomous driving applications
This project offers a specialized tool for identifying pedestrians in images, specifically designed for applications in autonomous vehicles. It takes a street-level image as input and outputs precise bounding boxes around detected pedestrians, along with a confidence score for each detection. It's intended for engineers and researchers developing self-driving car systems who need to accurately perceive their surroundings.
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Use this if you are developing or testing autonomous driving systems and need a component to accurately detect pedestrians in still images.
Not ideal if you need a real-time video pedestrian tracker, a general object detection model for various categories, or a system for non-vehicular applications.
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6
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5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 31, 2022
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