README.md

metadata

title: Object Detection Chatbot
emoji: 🐢
colorFrom: blue
colorTo: gray
sdk: streamlit
sdk_version: 1.38.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🔍 YOLOv8 Object Detection on Video

This Streamlit app allows you to upload a video file and perform object detection using the YOLOv8 model. The app processes the video, detects objects, and provides a downloadable version of the video with bounding boxes around detected objects.

🚀 Live Demo

Check out the live demo of the app on Hugging Face Spaces:

🔗 YOLOv8 Object Detection App on Hugging Face

📂 GitHub Repository

You can find the source code for this project on GitHub:

🔗 GitHub Repository

📋 Features

• Upload Video: Upload your video file in MP4, AVI, or MOV format.
• Object Detection: Detects objects in the video using the YOLOv8 model.
• Processed Video Download: Download the processed video with bounding boxes around detected objects.

🚀 How to Use

1. Upload a Video: Use the sidebar to upload a video file.
2. Process the Video: Click on the "Submit" button to start processing the video.
3. Download the Result: Once the processing is complete, download the processed video using the "Download Processed Video" button.

🛠️ Installation

To run the app locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/mldatascientist23/Generative_AI_Projects.git
   cd Generative_AI_Projects/YOLOv8_Object_Detection
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Run the Streamlit app:

   streamlit run app.py
   

📦 Requirements

• streamlit
• opencv-python-headless
• ultralytics
• numpy

🧑‍💻 Created By

This app was created by Engr. Hamesh Raj. Feel free to connect with me on LinkedIn!