https://github.com/jkl404/live-road-pothole-detector-using-yolo-v5
Road pothole detector using YOLO-V5
https://github.com/jkl404/live-road-pothole-detector-using-yolo-v5
Last synced: 6 months ago
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Road pothole detector using YOLO-V5
- Host: GitHub
- URL: https://github.com/jkl404/live-road-pothole-detector-using-yolo-v5
- Owner: JKL404
- Created: 2022-09-20T13:35:23.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-20T13:42:41.000Z (about 3 years ago)
- Last Synced: 2024-10-20T04:18:17.229Z (12 months ago)
- Language: CSS
- Size: 459 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Live-Road-pothole-detector-using-YOLO-V5
Road pothole detector using YOLO-V5
YOLO which stands for “You only look once” is one of the most popular object detector in use. The algorithm is designed in a way that by a single pass of forward propagation the network would be able to generate predictions. YOLO achieves very high accuracy and works really well in real time detection.
YOLO take a batch of images of shape (m, 224,224,3) and then outputs a list of bounding boxes along with its confidence scores and class labels, (pc,bx,by,bw,bh,c).
The output generated will be a grid of dimensions S x S ( eg. 19 x 19 ) with each grid having a set of B anchor boxes. Each box will contain 5 basic dimensions which include a confidence score and 4 bounding box information. Along with these 5 basic information, each box will also have the probabilities of the classes.
Special Thanks to https://bayesianquest.com/2022/07/25/build-you-computer-vision-application-part-v-road-pothole-detector-using-yolo-v5/