Project Information
- Category: Desktop Application
- Client: Fiverr Client
- Project Date: April 14, 2024
- Project Link: Not Available
Object Detector Project
Project Description
A smart AI-based object detection system built using YOLOv3 and Python. This desktop application detects and classifies multiple objects in images or real-time video streams with high accuracy. Features include real-time detection, support for custom models, bounding boxes with labels, and an intuitive user interface.
Key Features
Real-Time Detection
Detects multiple objects in real-time using webcam or video input with high accuracy.
Custom Models
Supports switching between pre-trained models or using custom trained models.
Bounding Boxes
Displays object names and confidence scores directly on the image/video.
Intuitive UI
Clean user interface with dark theme support for better user experience.
Cross-platform
Works smoothly on both Windows and Linux operating systems.
High Performance
Optimized for efficient object detection with minimal resource usage.
Technologies Used
P
Python
Y
YOLOv3
C
OpenCV
T
Tkinter