Annotation & Labeling

Empower your AI and machine learning projects with accurate 2D and 3D bounding box labeling

Understanding Annotation and Labeling

Annotation is the process of adding descriptive metadata or labels to raw data. It transforms unstructured data into labeled, structured datasets that facilitate the training and optimization of machine learning and artificial intelligence models.

Labeling is closely related to annotation but often refers specifically to assigning categorical or numerical labels to data instances.

Annotation and Labeling are essential for tasks ranging from image recognition and natural language processing to speech recognition and autonomous driving, leading advancements in various domains through the power of machine learning.

Labeling 2D Bounding Boxes

In 2D object detection tasks, annotators typically draw bounding boxes around objects of interest within images. These bounding boxes represent rectangular regions that enclose the objects, providing spatial information about their location and extent.

Labeling 3D Bounding Boxes

In 3D object detection tasks, annotators extend the concept of bounding boxes to three-dimensional space, providing information about the position, size, and orientation of objects in the environment.

Our Annotation Solutions

At Tyrian Purple, we believe in maximizing the accuracy of annotations to minimize noise and ambiguity in the training data, resulting in more robust and reliable models.

Image Annotation

We optimize your models to identify and label objects, bounding boxes, key points, or semantic segments within images.

Text Annotation

Our services assist you in efficiently tagging entities (such as names, dates, & locations), conducting sentiment analysis, and aiding in part-of-speech tagging and semantic role labeling within textual data.

Audio Annotation

We offer the proficiency to support your AI models in transcribing speech, identifying speakers, and labeling sounds or emotions conveyed in audio recordings.

Video Annotation

Our expertise helps your systems label objects, actions, or events within video frames, annotate temporal segments, and track object movements.

Enhance precision with advanced annotation and labeling

Leverage Tyrian Purple's comprehensive annotation and labeling services to refine your data's accuracy and utility, bolstering the efficacy of your AI and machine learning projects.

Let’s transform unstructured data into actionable insights and drive innovation for your business!

Case Studies