object_detection_yolov5python
https://github.com/shashankguptta/object_detection_yolov5python
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: shashankguptta
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 12.8 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
YOLOv5 🚀 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
We hope that the resources here will help you get the most out of YOLOv5. Please browse the YOLOv5 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!
YOLOv5 Object Detection This repository contains an implementation of YOLOv5, a state-of-the-art object detection model, for detecting objects in images. YOLOv5 is known for its high performance and accuracy in real-time object detection tasks. Features
YOLOv5 implementation for object detection
Support for PyTorch, ONNX, CoreML, and TFLite
Easy integration with other frameworks and tools
Efficient and fast object detection capabilities
Prerequisites
Python installed on your system
PyTorch, ONNX, CoreML, and TFLite libraries
Installation
Clone the repository to your local machine:
git clone https://github.com/your-username/yolov5-object-detection.git
Navigate to the project directory:
cd yolov5-object-detection
Usage
Run the YOLOv5 object detection script:
python detect_objects.py
The script will use the YOLOv5 model to detect objects in images.
Customize the script to work with your specific dataset or requirements.
Example
python detect_objects.py --image image.jpg
Contributing
If you have any suggestions, improvements, or find any issues, feel free to open an issue or submit a pull request.
YOU CAN ASSES FULL DOCUMENTION ON YOLOV5 ON ORIGNAL BASIS https://github.com/ultralytics/yolov5
Owner
- Name: SHASHANK GUPTTA
- Login: shashankguptta
- Kind: user
- Location: INDIA
- Repositories: 1
- Profile: https://github.com/shashankguptta
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: If you use YOLOv5, please cite it as below.
authors:
- family-names: Jocher
given-names: Glenn
orcid: "https://orcid.org/0000-0001-5950-6979"
title: "YOLOv5 by Ultralytics"
version: 7.0
doi: 10.5281/zenodo.3908559
date-released: 2020-5-29
license: AGPL-3.0
url: "https://github.com/ultralytics/yolov5"
GitHub Events
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Dependencies
- PyYAML >=5.3.1
- gitpython >=3.1.30
- matplotlib >=3.3
- numpy >=1.23.5
- opencv-python >=4.1.1
- pandas >=1.1.4
- pillow >=10.3.0
- psutil *
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- setuptools >=65.5.1
- thop >=0.1.1
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics >=8.0.232
- wheel >=0.38.0