https://github.com/mariodiasbatista/object-detection
Understand and demo a simple process in object detection.
https://github.com/mariodiasbatista/object-detection
opencv python yolov11
Last synced: 5 months ago
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Understand and demo a simple process in object detection.
- Host: GitHub
- URL: https://github.com/mariodiasbatista/object-detection
- Owner: mariodiasbatista
- Created: 2025-02-20T00:43:15.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-29T16:41:34.000Z (11 months ago)
- Last Synced: 2025-07-30T11:23:48.144Z (11 months ago)
- Topics: opencv, python, yolov11
- Language: Jupyter Notebook
- Homepage:
- Size: 48 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# 🚀 object-detection
**Demo a simple flow in object detection in some scenarios approaching :**
* **[Training](https://github.com/mariodiasbatista/object-detection/wiki/Training)**
* **[Inference](https://github.com/mariodiasbatista/object-detection/wiki/Inference)**
## 📌 Table of Contents
- [About](#about)
- [Scenarios](#scenarios)
- [Installation](#installation)
- [Usage](#usage)
- [Configuration](#configuration)
- [Contributing](#contributing)
- [License](#license)
## 📖 About
With this project i will demo the object detection with a neural network using YOLO it will use simple scenários with images and videos and the result will be a clear compreension how the process works.
Also the dependencies of this project like GPU servers will be addressed on the wiki page, the dependencies are a key part in the process on optimization of the training and inference.
## ✨ Scenarios
[**✅ 1**-](https://github.com/mariodiasbatista/object-detection/wiki/Scenarios#scenario-1) Train with anotated Images from [Open Images Dataset](https://storage.googleapis.com/openimages/web/visualizer/index.html) (easy process)
[**✅ 2**-](https://github.com/mariodiasbatista/object-detection/wiki/Scenarios#scenario-2) Train with custom anotated Images from the user (hard process)
[**✅ 3**-](https://github.com/mariodiasbatista/object-detection/wiki/Scenarios#scenario-3) Inference, put the trained model detecting on image
[**✅ 4**-](https://github.com/mariodiasbatista/object-detection/wiki/Scenarios#scenario-4) Inference, put the trained model detecting on video
[**✅ 5**-](https://github.com/mariodiasbatista/object-detection/wiki/Scenarios#scenario-5) Check all Results
## 🔧 Installation
For the instalation clone the project
and follow the [Installation](https://github.com/mariodiasbatista/object-detection/wiki/Installation) Section.
```bash
git clone https://github.com/mariodiasbatista/object-detection.git
```