What is Cross-Image Annotation by T-Rex Label?
Cross-image annotation empowers you to: (1) Pick an object with one bounding box, and it'll automatically annotate identical objects throughout your dataset. (2) Select multiple objects in one image simultaneously, and enjoy automatic annotation.
Problem
Users manually annotate identical objects across multiple images in datasets, which is time-consuming and error-prone due to repetitive bounding box drawing.
Solution
An image annotation tool where users automatically annotates identical objects across images using cross-image annotation technology, enabling one-click batch labeling for datasets.
Customers
Data scientists, machine learning engineers, and AI researchers working on computer vision models requiring large-scale image datasets.
Unique Features
Cross-image synchronization of annotations via single/multi-object selection, eliminating manual replication across frames.
User Comments
Saves 80% annotation time
Intuitive multi-object selection
Accurate auto-detection of identical objects
Essential for computer vision projects
Simplifies dataset preparation
Traction
Launched on ProductHunt (2023-09-26), gained 500+ upvotes and 1k+ users within first week according to PH metrics.
Market Size
The global computer vision market was valued at $11.34 billion in 2021, projected to reach $41.11 billion by 2030 (Grand View Research).
