Used for YOLO pothole model
Identify objects in images and videos
Detect objects in a video
Car detection testing
YOLOv11 Model for Aerial Object Detection
Detect objects in a video and image using YOLOv5.
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Analyze images and videos to identify objects
Dino-X-API-Demo::Alteredverse
Detect objects in images or videos
Detect objects and track body movements in real-time
Detect objects in real-time from webcam video
Control object motion in videos using 2D trajectories
PotholeDetect is an AI-powered tool designed to detect potholes in video footage using advanced object detection technology. It leverages the YOLO (You Only Look Once) model to identify potholes and provide bounding boxes around detected objects, making it a robust solution for infrastructure monitoring and road maintenance applications.
• Real-time pothole detection: Analyzes video frames to identify potholes accurately.
• Object tracking: Follows detected potholes across video frames for consistent monitoring.
• Bounding box visualization: Draws boxes around detected potholes for clear visualization.
• Support for multiple video formats: Compatible with various video file types for flexibility.
• High accuracy: Utilizes the YOLO model for precise object detection.
What is the accuracy of PotholeDetect?
PotholeDetect uses the YOLO model, known for its high accuracy and speed in object detection tasks. However, accuracy may vary based on video quality and lighting conditions.
Can PotholeDetect work with live video streams?
Currently, PotholeDetect is designed for pre-recorded video files. Support for live video streams may be added in future updates.
What video formats does PotholeDetect support?
PotholeDetect supports common video formats such as MP4, AVI, and MOV. For a full list of supported formats, refer to the documentation.