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Real-Time-Object-Detection

The app leverages WebRTC to stream webcam video directly through the browser, making it ideal for low-latency, real-time inference in a cloud-deployed environment.

Tech Stack

Framework: Streamlit

Real-time Streaming: Streamlit-webrtc

Deep Learning: Ultralytics (YOLO)

Image Processing: OpenCV & PyAV

Deployment: Hugging Face Spaces / Render

Key Features

Live Webcam Inference: Processes video frames in real-time using webrtc_streamer.

Optimized Performance: Uses asynchronous frame processing to maintain a smooth UI.

Cross-Platform: Designed to run seamlessly on local machines and cloud platforms like Hugging Face.

About

An interactive web application built with Streamlit and OpenCV that performs live object detection using a custom-trained YOLOv8 model

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