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LandingLens - Visual AI Platform

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Snowflake2024-08-16 更新2024-08-17 收录
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LandingLens is a cloud-based Visual AI platform. LandingLens empowers users to create and train Visual AI models even if you don't have a background in AI, machine learning, or computer vision. LandingLens guides you through the process of uploading images, labeling them, training models, comparing model performance, and deploying models. <p><br/></p> To users who are familiar with machine learning, LandingLens offers advanced tools to customize the model training process. LandingLens supports advanced deployment options including cloud deployment as well as [Docker](https://support.landing.ai/landinglens/docs/docker-deploy) and [LandingEdge](https://support.landing.ai/landinglens/docs/landingedge-overview), LandingAI’s edge-deployment solution. LandingAI Resources: - Documentation: [https://support.landing.ai](https://support.landing.ai) - GitHub Repo for Python Library:[ https://github.com/landing-ai/landingai-python](https://github.com/landing-ai/landingai-python) - Join LandingAI’s community:[ https://community.landing.ai/home](https://community.landing.ai/home)

LandingLens 是一款基于云端的视觉AI(Visual AI)平台。即便不具备人工智能(AI)、机器学习(Machine Learning)或计算机视觉(Computer Vision)专业背景的用户,也可借助LandingLens创建并训练视觉AI模型。该平台将全程引导用户完成图像上传、图像标注、模型训练、模型性能对比及模型部署的全流程。 对于熟悉机器学习的用户,LandingLens 还提供了高级工具,支持自定义模型训练流程。LandingLens 支持多种高级部署选项,包括云端部署,以及 [Docker](https://support.landing.ai/landinglens/docs/docker-deploy) 和 [LandingEdge](https://support.landing.ai/landinglens/docs/landingedge-overview)——LandingAI 旗下的边缘部署解决方案。 LandingAI 官方资源: - 文档支持:[https://support.landing.ai](https://support.landing.ai) - Python 库 GitHub 仓库:[https://github.com/landing-ai/landingai-python](https://github.com/landing-ai/landingai-python) - 加入 LandingAI 社区:[https://community.landing.ai/home](https://community.landing.ai/home)

提供机构:
LandingAI
创建时间:
2024-08-16
搜集汇总
数据集介绍
LandingLens - Visual AI Platform 数据集图片
背景与挑战
背景概述
LandingLens是一个云端视觉AI平台,支持用户无需AI背景即可创建和训练模型,同时提供高级定制工具及云/Docker/边缘部署选项。平台包含完整的模型开发流程指导和社区资源支持。
以上内容由遇见数据集搜集并总结生成
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