Leveraging human intelligence,expertise and technology to provide the data insights needed to advance AI
Company providing high quality data labels to train your model with accurate size and shape using Images(2D) & Videos(3D)
Types of Annotations
Bounding box annotation is a process of manually labelling or annotation an image with a bounding box around a specific object or a feature of interest.
Identifies object in 3D point cloud and draws bounding cuboids around the specified objects,returning the position and sizes of these boxes.
Polygon annotaion is a precise method of annotating where a collection of coordinates are drawn around an image. Polygon annotations can avoid capturing unneccessary background information that is relevant annotation.
Object tracking is an application of deep learning where the program takes an initial set of object detections and develops a unique identication for each of the initial detections and then tracks the detected objects as they move around frames in a video.
Semantic Segmentaion annotation helps train computer vision based AI models by assigining each pixel in an image to a specific class of object.
Sequence image labeling refers to the process of annotating a series of images or frames in a way that captures the relationships and information across the sequence. This is commonly used in computer vision tasks that involve understanding temporal patterns, such as object tracking, action recognition, gesture detection, and more. The primary goal is to label objects, regions, or events consistently and accurately throughout the sequence.
The process of adding meta data to an audio recording file to describe its content and make it machine readable and to train NLP system.
