Making the object detection for machines possible with bounding box annotation. Each object is captured in a frame of bounding box making it easier for computer vision not only to detect but also to identify the object precisely. Data Annotate is a great platform to get bounding boxes object detection done with the right combination of humans and AI-backed tools. data annotation company
Bounding Box for Computer Vision
AI model like a self-driving car, drones, and robots working on computer vision technology, needs a huge amount of bounding box annotated datasets. And when a huge amount of such machine learning training datasets is feed into the algorithm, the model becomes intelligent enough to perform itself accurately. Using the best bounding box annotation tool to create the datasets for object detection and localization.
2D Bounding Box Annotation
Making only two dimensions detectable with 2D bounding box annotation to detect and localize vehicles, pedestrians, traffic lights, and signs, path holes, road lanes. From self-driving cars to robots and AI computer vision-based object detection, 2D bounding box annotation offers an accurate detection as well as localization of different objects in different use cases. bounding box image annotation
3D Bounding Box Annotation
For more precise object detection with dimension recognition, 3D bounding box annotation is adopted to make the object more precisely visible to machines. Data Annotate is using the best tool to outline the object in 3D bounding boxes with a high level of precision. We can create the 3D bounding box dataset for autonomous vehicles and other computer vision-based AI models.
Image & Video Bounding Box Annotation
Off course the object of interest in the images is annotated with image bounding box annotation. Identifying the right object and making them recognizable is simply possible with bounding boxes. And this image annotation technique is also applicable when the object is moving in a video. The object is annotated frame-by-frame in the video clip helping self-driving cars perceive the moving objects.
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