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SenseTime open-sources a 7B vision model—one model handles detection, segmentation, and 3D

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Abstract generation in progress
ME AI news, according to Beating monitoring, SenseTime has released SenseNova-Vision-7B-MoT. It unifies tasks including object detection, OCR, keypoint localization, image segmentation, depth estimation, and multi-view 3D reconstruction into text or image generation tasks. Users can describe their needs with language or visual prompts, without having to install dedicated modules for each individual task. On RefCOCOg referring segmentation and Cityscapes semantic segmentation, the model achieved 80.3 and 71.2, respectively, which is higher than Google DeepMind’s Vision Banana at 73.8 and 69.9. SenseTime also simultaneously opened its inference code, model weights, and 50 million visual instruction data. The code is under Apache 2.0, and the model weights are under CC BY-NC 4.0, limited to non-commercial use. (Source: BlockBeats)
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