MMBench is a comprehensive evaluation framework designed to measure the capabilities of multimodal large language models across a wide array of visual and textual tasks.

A comprehensive open-source data labeling platform designed to help ML teams create high-quality training datasets for a variety of AI models.

An extensive open-source platform for discovering, sharing, and deploying pre-trained AI models developed by Alibaba DAMO Academy.

Meta’s Segment Anything Model (SAM) is a powerful AI tool designed to identify and isolate any object within an image with unprecedented accuracy.

A collection of cutting-edge AI image processing tools developed by Tencent’s ARC Lab, offering free access to advanced visual manipulation demos.

Caffe is a professional-grade deep learning framework developed by UC Berkeley, optimized for speed, efficiency, and large-scale image processing.