It uses the WALDO model for aerial imagery segmentation
Control object motion in videos using 2D trajectories
Analyze video to recognize actions or objects
Analyze images and videos to identify objects
Track objects in uploaded videos
Upload and detect objects in videos
Process video to count and track cars
Detect objects in live video feeds
Track and count vehicles in real-time
Track objects in a video
A UI for drone detection for YOLO-powered detection system.
Detect objects in images and videos
Detect objects and track body movements in real-time
WALDO Yolov8 is an advanced AI tool designed for object tracking in videos, particularly optimized for aerial imagery segmentation. It combines the powerful YOLOv8 framework with the WALDO model to deliver precise object detection and labeling in real-time. This tool is ideal for applications requiring accurate annotation of objects within video streams, making it a robust solution for surveillance, drones, and other video analysis tasks.
1. What types of videos does WALDO Yolov8 support?
WALDO Yolov8 supports a wide range of video formats, including MP4, AVI, and MOV, and is optimized for aerial imagery captured by drones or other overhead systems.
2. Can WALDO Yolov8 work with non-aerial footage?
While WALDO Yolov8 is specialized for aerial imagery, it can also process standard video footage. However, its performance may vary depending on the use case and object types.
3. How accurate is WALDO Yolov8 for object tracking?
The accuracy of WALDO Yolov8 is highly dependent on the quality of the input video and the complexity of the scene. It achieves state-of-the-art results for aerial imagery but may require fine-tuning for specific object types or environments.