DocF/multispectral-object-detection
Multispectral Object Detection with Yolov5 and Transformer
This tool helps improve the accuracy of object detection in challenging conditions, especially at night or in varied lighting. It takes pairs of images—one from a regular camera (RGB) and one from a thermal camera (infrared)—and identifies objects within them. Operations engineers, security personnel, or anyone needing reliable automated surveillance and object recognition would use this.
460 stars. No commits in the last 6 months.
Use this if you need to detect objects with high reliability in environments where traditional cameras struggle, such as in low light, fog, or obscured views, by leveraging both visible and thermal imagery.
Not ideal if you only have single-modality (e.g., only RGB or only thermal) image data, as it is specifically designed for fusing information from both types.
Stars
460
Forks
76
Language
Python
License
AGPL-3.0
Category
Last pushed
May 19, 2024
Commits (30d)
0
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