https://github.com/rahul1582/object-detection
Projects made using YOLO Algorithm
https://github.com/rahul1582/object-detection
object-detection opencv vehicle-counter yolov3
Last synced: 2 months ago
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Projects made using YOLO Algorithm
- Host: GitHub
- URL: https://github.com/rahul1582/object-detection
- Owner: Rahul1582
- Created: 2019-08-17T16:58:09.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-06-22T13:14:38.000Z (about 6 years ago)
- Last Synced: 2025-03-31T05:16:54.624Z (over 1 year ago)
- Topics: object-detection, opencv, vehicle-counter, yolov3
- Language: Jupyter Notebook
- Homepage:
- Size: 3.73 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Object Detection
Used the YOLO Pretrained Model to detect the objects in a given Image.
OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow.
When it comes to object detection, popular detection frameworks are
1. YOLO
2. SSD
3. Faster R-CNN
## Pretrained Model Used
You can download the Pretrained Model [here](https://www.kaggle.com/valentynsichkar/yolo-coco-data)
## YOLO(You Only Look Once)
YOLO is a clever convolutional neural network (CNN) for doing object detection in real-time. The algorithm applies a single neural network to the full image, and then divides the image into regions and predicts bounding boxes and probabilities for each region.
## Technologies Used
```
1. YOLO(You Only Look Once) Pretrained Model
2. OPENCV
```
## Sample Output-
### Original Image-
### Image After Processing it through YOLO Model-
## Author
```
Rahul Kumar Patro
```