MMBench 是一个综合评估框架，旨在衡量多模态大型语言模型在各种视觉和文本任务中的能力。

一个全面的开源数据标注平台，旨在帮助机器学习团队为各种人工智能模型创建高质量的训练数据集。

An extensive open-source platform for discovering, sharing, and deploying pre-trained 人工智能模型 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.