The T-Rex2 object detection technology launched by Deep Data Space has shown significant advantages in the field of image and video object recognition with its combination of text prompts and image tags. It breaks through the limitations of traditional models, supports multiple workflows, and achieves efficient and accurate target positioning without pre-training. The emergence of T-Rex2 brings new possibilities to target detection technology and also heralds the further development of AI image recognition technology in the future.
T-Rex2 is an advanced technology that can accurately identify and locate various objects in pictures through a combination of text prompts and picture tags. Widely used to find specific objects in pictures or videos. T-Rex2 supports multiple workflows without pre-training, improving object recognition efficiency and accuracy. The T-Rex2 technology launched by Deep Data Space solves the closed set problem of traditional models and brings innovation to the field of target detection.
T-Rex2 technology is efficient, accurate, and easy to use. It does not require complex pre-training steps, which greatly improves the efficiency of target detection. It innovatively solves the closed set problem of traditional models and brings revolutionary changes to the field of target detection. It is worth looking forward to its application and development in more fields.