Landing.ai
Landing.ai 是什麼？
Landing AI 是一家計算機視覺平台和人工智能軟件公司，提供了一個名為 LandingLens 的雲端計算機視覺軟件平台。通過自然提示交互，用戶可以在幾分鐘內創建自定義計算機視覺項目，快速、簡便、直觀地構建計算機視覺系統。
如何使用Landing.ai？
要使用 LandingLens，用戶可以直接將圖像拖放到平台中，或者從攝像頭捕獲實時圖像。他們可以使用 LandingLens 的標註工具標註圖像中的對象，以獲得最高精度的訓練數據。標註完成後，用戶可以訓練模型並評估其性能。一旦模型足夠準確，只需點擊幾下，就可以將模型部署到雲端或邊緣設備上。用戶可以監視模型的性能並根據需要進行更新。
Landing.ai的核心功能
視覺提示：通過提示系統進行基於視覺的交互
數據中心的人工智能：通過確保數據質量確保模型在小數據集上工作
靈活的部署：雲端和邊緣設備部署選項，以便集成到現有環境中
無限擴展性：從單一生產線擴展到全球運營的項目規模化
Landing.ai 的用例
汽車：質量檢查、缺陷檢測和自動駕駛
電子產品：質量控制、PCB檢測和元件識別
食品和飲料：質量保證、污染檢測和包裝檢查
醫療設備：缺陷識別、產品驗證和質量控制
生命科學：細胞識別、藥物發現和研究分析
農業：作物監測、病害檢測和產量優化
製造業：生產線監測、缺陷檢測和流程優化
基礎設施：設施管理、安全監控和對象識別
製藥：藥品包裝驗證、防偽檢測和質量控制
電動車製造：電池檢查、元件識別和生產優化
來自 Landing.ai 的常見問題解答
Landing AI 是什麼？
LandingLens 是如何工作的？
LandingLens 的核心功能有哪些？
哪些行業可以從 LandingLens 中受益？
Landing.ai 支援電子郵件和客戶服務聯絡資訊和退款聯絡資訊等。
以下是客戶服務的 Landing.ai 支援電子郵件：hello@landing.ai 。 更多聯絡資訊，請訪問聯絡我們頁面(https://landing.ai/contact-sales/)
Landing.ai 公司
Landing.ai 公司地址：195 Page Mill Rd, Palo Alto, CA. 94306.。
有關Landing.ai 的更多信息，請訪問關於我們頁面(https://landing.ai/about-us/) 。
Landing.ai 登入
Landing.ai登入連結：https://app.landing.ai/login/
Landing.ai 註冊
Landing.ai註冊連結：https://app.landing.ai/signup/
Landing.ai 定價
Landing.ai定價連結：https://landing.ai/pricing/
Landing.ai Facebook
Landing.ai Facebook連結：https://www.facebook.com/profile.php?id=100068095180134
Landing.ai Youtube
Landing.ai Youtube連結：https://www.youtube.com/channel/UCYQS3jkfB79Diyr9sQJAj5Q
Landing.ai Tiktok
Landing.ai Tiktok連結：https://www.tiktok.com/@landing.ai
Landing.ai Linkedin
Landing.ai Linkedin連結：https://www.linkedin.com/company/landing-ai/
Landing.ai Twitter
Landing.ai Twitter連結：https://twitter.com/landingAI
Landing.ai Instagram
Landing.ai Instagram連結：https://www.instagram.com/landingai/
Landing.ai Github
Landing.ai Github連結：https://github.com/landing-ai/
Landing.ai 評論 (0)
分析Landing.ai
Landing.ai 網站流量分析
地理流量
Top 5 Regions
Landing.ai 啟動嵌入
使用網站徽章來推動社區對 Toolify 發布的支持。 它們很容易嵌入您的主頁或頁腳。
社群媒體聆聽
Visual Prompting Livestream With Andrew Ng
Try out Visual Prompting today at https://landing.ai And join the conversation in the Landing AI community at community.landing.ai/c/visual-prompting/ [About Visual Prompting Livestream] The traditional AI modeling workflow requires multiple steps: (i) finding and labeling data, (ii) training a model, and then (iii) making predictions. In contrast, text interfaces like ChatGPT have a dramatically simpler process where a user can give a text prompt saying what they want, and get an answer quickly. This has revolutionized NLP (natural language processing). Traditional AI: Label→ Train → Predict (taking days/months) Prompting based AI: Prompt → Predict (taking minutes/seconds) In this livestream presentation, Andrew Ng will share some early thoughts – and present Landing AI’s results – on generalizing this concept from text to computer vision, so that users can input a simple Visual Prompt (that indicates a few things on an image) and quickly get a result. Meta’s SAM model is one example of Visual Prompting, applied to image segmentation of individual images. In the next few years, Andrew expects that Visual Prompting tools will make computer vision much more accessible, just as text prompting has for NLP. Join Andrew to discuss: * Lessons from NLP (transformers and large language models) for computer vision (vision transformers, foundation vision models) * Visual Prompting as a fast, easy and natural way to have a vision-based interaction * Live demo * Implications of prompting on machine learning project lifecycle * Live Q&A
Machine Learning Specialization by DeepLearning.AI
Enroll in the Machine Learning Specialization 👉 https://bit.ly/3ZRBXpq This 3-course specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. It's a beginner-friendly program that will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. Taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. The specialization provides a broad introduction to modern machine learning, including: Supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees) Unsupervised learning (clustering, dimensionality reduction, recommender systems) Best practices for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) Learn more: https://bit.ly/3ZRBXpq DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community.
Pioneering The Data-Centric AI Movement
Tune into this "Data Cloud Now" conversation between host Ryan Green, Andrew Ng, Founder and CEO of Landing AI, and Dan Maloney, COO of Landing AI, to learn how Landing AI is pioneering the Data-Centric AI movement, which enables companies with limited data sets to realize the business value of AI and move AI projects from proof-of-concept to full-scale production. For more information about Landing AI: →Website: https://landing.ai →LinkedIn: https://www.linkedin.com/company/landing-ai →Twitter: https://twitter.com/LandingAI To connect with Andrew Ng of Landing AI: →LinkedIn: https://www.linkedin.com/in/andrewyng To connect with Dan Maloney of Landing AI: →LinkedIn: https://www.linkedin.com/in/danielwilliammaloney Join the Data Cloud Now Community: https://bit.ly/3GdXtgD Learn more about Data Cloud Now: Website: https://www.TheDataCloudNow.com Podcast: https://bit.ly/3sFXst6
總共有 44 筆社群媒體資料需要解鎖才能查看