It uses the WALDO model for aerial imagery segmentation
yolo-bdd-inference
Detect objects in a video and image using YOLOv5.
Detect objects in a video
ObjectCounter
Detect objects and track body movements in real-time
Track and label objects in videos
Detect objects in real-time video stream
Control object motion in videos using 2D trajectories
Video captioning/open-vocabulary/zero-shot
Track and count objects in videos
Detect objects in images and videos
Find objects in videos
WALDO Yolov8 is an advanced object tracking and detection tool designed specifically for aerial imagery and video analysis. It leverages the powerful WALDO model to deliver high-precision segmentation and real-time object tracking in dynamic environments. Built on the YOLOv8 framework, it combines state-of-the-art detection accuracy with efficiency for seamless performance across various applications.
• State-of-the-art object detection: Utilizes the latest advancements in YOLOv8 for high accuracy and speed.
• Real-time tracking: Capable of tracking objects in videos and live streams, ideal for aerial and dynamic scenarios.
• Aerial imagery optimization: Specifically designed to handle complex aerial datasets with precision.
• Multi-object support: Detects and tracks multiple objects simultaneously with clear labeling.
• Annotation automation: Automatically annotates images and videos with object labels, saving time in data preparation.
• Versatile input support: Works with images, videos, and live streams, making it a flexible tool for diverse use cases.
What is WALDO Yolov8 primarily used for?
WALDO Yolov8 is primarily used for object detection and tracking in aerial imagery and videos, making it ideal for applications like drone surveillance, traffic monitoring, or wildlife tracking.
Can WALDO Yolov8 work on any platform?
Yes, WALDO Yolov8 is designed to be platform-independent and can run on Windows, Linux, and macOS systems.
What types of inputs does WALDO Yolov8 support?
WALDO Yolov8 supports images (e.g., JPG, PNG), videos (e.g., MP4, AVI), and live streams from cameras or other real-time sources.