AI Auto-Labeling by T-Rex Label
Auto-Identify and Label ANYTHING You Need
About
T-Rex Label is an out-of-the-box AI annotation tool designed to rapidly build complex scene datasets. It specializes in enhancing annotation efficiency through features like AI Mask, AI Bounding Box, and Cross Image AI Pre-annotation. Key advantages include its built-in open-set detection model that requires no fine-tuning, enabling one-click detection and significantly reducing pre-trained model pipeline time. It supports batch annotation by propagating visual prompts across images and is a browser-based, zero-setup tool, minimizing onboarding and maintenance costs. T-Rex Label is adaptable to various industries such as agriculture, livestock, electronics, construction, retail, healthcare, logistics, and transportation, leveraging its zero-shot detection capability. It offers seamless integration with popular dataset formats and AI frameworks like Kaggle, Roboflow, Hugging Face, PyTorch, and TensorFlow, and is preferred by computer vision engineers worldwide for accelerating labeling workflows.
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