Photo and video detector with csv annotation saving
Detect objects in real-time from your webcam
Detect objects in images and videos
Detect objects in a video using a query image
Detect moving objects in videos
A UI for drone detection for YOLO-powered detection system.
Detect objects in a video stream
Automated Insect Detection
Identify objects in images and videos
Track people in a video and capture faces
Detect objects in images or videos
Video captioning/open-vocabulary/zero-shot
SOTA real-time object detection model
YOLOv11 Detector is an advanced object detection tool designed to detect objects in images and videos with high precision. It is part of the YOLO (You Only Look Once) family of detectors, known for their real-time detection capabilities. This tool is particularly useful for tracking objects in video streams and supports CSV annotation saving, making it ideal for applications that require labeled data for further analysis.
What platforms does YOLOv11 Detector support?
YOLOv11 Detector supports Windows, Linux, and macOS operating systems.
How do I improve detection speed?
To improve detection speed, use a GPU-enabled system or reduce the input resolution.
What is the CSV annotation used for?
The CSV annotation saves the coordinates and labels of detected objects, useful for training machine learning models or further analysis.