YOLOv11 Model for Aerial Object Detection
Identify and track faces in videos
Track points in a video by clicking or using grid
yolo-bdd-inference
Detect objects in images or videos
Object_detection_from_Video
Product Prototype 1
Detect objects in live video from your webcam
Detect objects in real-time from your webcam
Control object motion in videos using 2D trajectories
Track and count objects in videos
Detect moving objects in videos
Model Yolo
Yolo Aerial Detection Persian is a state-of-the-art object detection system designed specifically for aerial imagery and video analysis. Built using the YOLOv11 model, it specializes in detecting and labeling objects within drone-captured or aerial footage, optimized for Persian language support. This tool is ideal for applications requiring real-time tracking and precision monitoring of objects in dynamic environments.
• Object Detection: Detects and labels objects such as people, vehicles, and animals in aerial imagery and videos.
• Real-Time Tracking: Supports real-time monitoring of moving objects in aerial streams.
• Multi-Language Support: Includes Persian language compatibility for annotations and outputs.
• Video & Image Processing: Processes both images and video files for comprehensive analysis.
• High Accuracy: Leverages YOLOv11 for enhanced detection accuracy and speed.
What version of YOLO does this tool use?
Yolo Aerial Detection Persian is built using YOLOv11, the latest iteration of the YOLO family, known for its high accuracy and speed.
Can this tool detect objects in real-time?
Yes, Yolo Aerial Detection Persian supports real-time object detection in aerial video streams, making it suitable for live monitoring applications.
What types of objects can this tool detect?
The tool is primarily designed to detect people, vehicles, and animals in aerial imagery, but it can be further customized to detect other object classes based on specific requirements.