Efficiently annotate objects by drawing rectangular boxes around them. Ideal for tasks like object detection in images or videos, enabling models to recognize and localize items such as vehicles, pedestrians, or products.
Capture complex shapes with precision by outlining objects using multiple vertices. Perfect for irregular or overlapping objects in scenarios like autonomous driving or medical imaging.
Label each pixel of an image with a class, allowing models to understand the content at a granular level. Best suited for applications requiring detailed scene understanding, like road segmentation or urban planning.
Combine semantic and instance segmentation by assigning both class and instance IDs to each pixel. Ideal for comprehensive scene analysis where both object type and individuality matter.
Annotate 3D point clouds from LiDAR sensors for applications in autonomous vehicles and robotics. Supports bounding boxes, segmentation, and more to help machines interpret real-world environments accurately.
Convert spoken words into written text or align audio with textual data. Used in voice assistants, subtitling, and natural language processing tasks to improve machine understanding of human speech.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
F/NO- 1 A MAINAK APT, F/N-1A, GROUND FLOOR C/F-10/1,JYANGRA GHOSPARA, KOL- 59 NORTH 24 PARGANAS 700059
protick.purkait@tagneticai.com tannika.biswas@tagneticai.com
Phone : +91 7003411010
Monday - Friday 07am - 09pm
Tagnetic AI offers an all-in-one solution for traditional AI developers, combining top-tier data annotation tools, workflow automation, and expert talent to deliver the industry’s highest quality machine learning data.
