新一代人工智能开放平台开放业界领先的深度网络模型

数据集依托项目课题三《图像感知国家新一代人工智能开放创新平台服务机制研究和建设》建设。课题面向图像感知领域的开放平台建设，本数据集为多元开放主题提供核心算法开源开放服务，赋能人工智能社区开发者，降低研发工作启动门槛。数据集采集自新一代人工智能开源开放平台平台，包含30个开源模型的训练代码与预训练结果，其中预训练结果中包含网络结构信息以及网络权重信息。This dataset is developed based on Project Topic 3 titled "Research and Construction of the Service Mechanism for the National New-generation Artificial Intelligence Open Innovation Platform for Image Perception". This topic focuses on the construction of open platforms in the field of image perception. This dataset provides open-source and open-access core algorithm services for diverse open themes, empowers developers in the AI community, and lowers the threshold for initiating R&D work. The dataset is collected from the national new-generation artificial intelligence open-source and open-access platform, and contains the training codes and pre-trained results of 30 open-source models, where the pre-trained results include network architecture information and network weight information.

搜集汇总

背景与挑战

背景概述

该数据集依托于图像感知国家新一代人工智能开放创新平台项目，提供了30个开源深度学习模型的训练代码和预训练结果，包括网络结构和权重信息，旨在赋能人工智能社区开发者并降低研发门槛。