IDEACVR

Cross-Image Annotation by T-Rex Label - Labeling Has Never Been Easier

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.

Add a comment

Replies

Best
IDEACVR
The vision of T-Rex Label is to offer data annotation researchers an out-of-the-box AI annotation tool, dedicated to rapidly building complex scene datasets. We are extremely excited to introduce the Cross-Image Annotation feature of T-Rex Label. This revolutionary tool empowers you to: (1) Pick an object using just one bounding box, and it will automatically detect and annotate the same object across your whole dataset. (2) Select multiple objects in one image simultaneously, and the system will label all instances in your dataset. Say farewell to those tiresome, repetitive labeling tasks! The Cross-Image Annotation feature streamlines your workflow, freeing up your precious time and energy for more important tasks. Moreover, we understand the significance of giving back to our community. That's why this amazing feature is completely FREE! If you have any requirements, suggestions, or if there are advanced object detection models you'd like us to integrate, or other product features you'd like to see, please feel free to leave a comment. Every piece of your feedback is invaluable to us!
IDEACVR

T-Rex Label is dedicated to empowering users quickly build complex scenario datasets. Regarding the main challenges of image annotation and the actual annotation effect of T-Rex Label, you can refer to:
(1) Image Annotation 101 Part1: Tackling the Challenges of Changing Lighting
(2) Image Annotation 101 Part2: The Complexity of Dense Scenes
(3) Image Annotation 101 Part3: The Dilemma of Appearance Diversity and Deformation

Regarding the powerful T-Rex2 model behind T-Rex Label, you can refer to:

(1) Exploring the T-Rex2 Family Part 1: T-Rex2, an Object Detection Model Using Text-Visual Prompts

IDEACVR

Don't miss out! Both new and existing users of T-Rex Label can get 300 T-Beans for Beta Premium Features