T-Rex Label

Overview

T-Rex Label is an AI-assisted data labeling tool that dramatically accelerates the creation of custom object detection datasets. It offers a streamlined workflow where human annotators work alongside smart algorithms that propose and refine bounding boxes, reducing tedious manual work by a significant margin. This tool is especially valuable for machine learning engineers and computer vision teams preparing training data for autonomous vehicles, robotics, retail analytics, and other applications. With a focus on speed and accuracy, T-Rex Label simplifies the entire pipeline from raw images to a well-structured, production-ready dataset.

How to Use

Upload your image dataset to T-Rex Label. The AI pre-labels common objects, then you refine and confirm annotations via the interface. Export the completed dataset in your chosen format for training computer vision models quickly.

Core Features

Use Cases

1. 1 Crop monitoring in agriculture
2. 2 Object detection in various industries (electronics, construction, retail, healthcare, logistics, transportation)

Frequently Asked Questions