https://github.com/jparedesds/ai-yolo
AI-YOLO Project Object Detection / Computer Vision
https://github.com/jparedesds/ai-yolo
computer-vision model object-detection opencv tensorflow torch track-detection ultralytics yolo yolo11 yolov10 yolov9
Last synced: 3 months ago
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AI-YOLO Project Object Detection / Computer Vision
- Host: GitHub
- URL: https://github.com/jparedesds/ai-yolo
- Owner: jparedesDS
- Created: 2024-09-27T21:56:55.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-03-18T11:24:30.000Z (3 months ago)
- Last Synced: 2025-03-18T12:28:25.911Z (3 months ago)
- Topics: computer-vision, model, object-detection, opencv, tensorflow, torch, track-detection, ultralytics, yolo, yolo11, yolov10, yolov9
- Language: Jupyter Notebook
- Homepage: https://huggingface.co/jparedesDS
- Size: 43.9 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI-YOLO
**All my YOLO-based models for various applications**
## Table of Contents
- [Overview](#overview)
- [Metallurgical Applications](#metallurgical-applications)
- [Counter-Strike 2 Object Detection](#counter-strike-2-object-detection)
- [Valorant Object Detection](#valorant-object-detection)
- [Deadlock Object Detection](#deadlock-object-detection)
- [Overwatch 2 Object Detection](#overwatch-2-object-detection)
- [Fortnite Object Detection](#fortnite-object-detection)
- [How to Use the Models](#how-to-use-the-models)
- [All Models](#all-models)
---
## Overview
This repository showcases my YOLO models, customized for diverse applications, including industrial, gaming, and general object detection tasks. From metallurgical inspections to in-game object detection, these models leverage cutting-edge deep learning to achieve high precision.
---
## Metallurgical Applications
### Fluorescent Penetrant Inspection
- **Model**: YOLO11l
- **Details**: Optimized for detecting defects in fluorescent penetrant inspections.
- [Access Model on Hugging Face](https://huggingface.co/jparedesDS/fluorescent-penetrant-inspection)
### Welding Defects Detection
- **Model**: YOLO11x
- **Details**: Designed to identify welding defects with high accuracy.
- [Access Model on Hugging Face](https://huggingface.co/jparedesDS/welding-defects-detection)
---
## Counter-Strike 2 Object Detection
YOLO models tailored for detecting objects and events in Counter-Strike 2.
- **YOLOv9c**: [Hugging Face Link](https://huggingface.co/jparedesDS/cs2-yolov9c)
- **YOLOv10s**: [Hugging Face Link](https://huggingface.co/jparedesDS/cs2-yolov10s)
- **YOLOv10m**: [Hugging Face Link](https://huggingface.co/jparedesDS/cs2-yolov10m)
- **YOLOv10b**: [Hugging Face Link](https://huggingface.co/jparedesDS/cs2-yolov10b)
---
## Valorant Object Detection
Models designed to detect in-game objects in Valorant.
- **YOLOv10b**: [Hugging Face Link](https://huggingface.co/jparedesDS/valorant-yolov10b)
- **YOLO11m**: [Hugging Face Link](https://huggingface.co/jparedesDS/valorant-yolo11m)
---
## Deadlock Object Detection
Custom YOLO models for detecting objects in **Deadlock**.
- **YOLO11l**: [Hugging Face Link](https://huggingface.co/jparedesDS/deadlock-yolo11l)
---
## Overwatch 2 Object Detection
Advanced object detection for Overwatch 2.
- **YOLO11m**: [Hugging Face Link](https://huggingface.co/jparedesDS/ow2-yolo11m)
---
## Fortnite Object Detection
Advanced object detection for Fortnite.
- **YOLO11m**: [Hugging Face Link](https://huggingface.co/jparedesDS/fortnite-yolo11m)
---
## How to Use the Models
Easily integrate the models into your projects using the `ultralytics` library.
```python
from ultralytics import YOLO
# Load a pretrained YOLO model
model = YOLO(r'your_model.pt')
# Run inference on an image
model.predict(
'image.png',
save=True,
device=0
)
```
## All Models
You can find all my models on Hugging Face:
https://huggingface.co/jparedesDS
## Contributing
If you'd like to contribute, feel free to open an issue or submit a pull request.
## License
This repository is licensed under the MIT License. See the LICENSE file for details.