AI / ML SaaS 市場規模 ● AI software and platforms will reach $97.9 billion in 2023. ● The compound annual growth rate (CAGR) for the 2018-2023 forecast period will be 28.4%. ○ 資料來源 https://www.idc.com/getdoc.jsp?containerId=prUS45481219
MLaaS market is expected to post a CAGR of over 38% The global machine learning-as-a-service (MLaaS) market is expected to post a CAGR of over 38% during the period 2019-2023, according to the latest market research report by Technavio. ○ 資料來源 https://www.technavio.com/report/global-machine-learning-as-a-service-mlaas-market-industry-analysis
Google Trend 「產品關鍵字」搜尋熱度比較 https://trends.google.com.tw/trends/explore?date=today%205-y&q=SageMaker,Google%20Machine%20Learning,Azure%20Mac hine%20Learning,IBM%20Watson
Google Cloud AI ● AI Hub ○ 隨插即用 AI 元件的託管存放區 ○ 端對端 AI 管道、立即可用的演算法、 kubeflow工作管線、Jupyter Notebooks以及TensorFlow模 組 ○ 重用人工智慧資源 ● AI Building Blocks ○ 可讓開發人員輕鬆地將 視覺內容、語言、對話和結構化資料加入應用程 式中。 ○ 建構模塊有兩種：AutoML 用於自訂模型，API 用於預先訓練的模型。 ● AI Platform ○ 是以程式碼為基礎的數據資料學開發環境，可協助機器學習開發人員和數據資料學家，縮短從 構思專案到投入部署的時程。 ○ 一個端到端的開發平臺，團隊可以使用共享介面，準備、建置、執行以及管理機器學習專案，各 種角色都能參與其中。
AI Building Blocks ● 視覺 ○ Vision AI ■ AutoML Vision ■ Vision API ○ Video AI ■ AutoML Video Intelligence ■ Video Intelligence API ● 對話 ○ Dialogflow ■ 打造對話體驗 ○ Cloud Text-to-Speech API ■ 採用機器學習，將文字轉換成語音 ○ Cloud Speech-to-Text API ■ 採用機器學習，將語音轉換為文字 ● 語言 ○ 翻譯 ■ AutoML Translation ■ Translation API ○ Natural Language ■ AutoML Natural Language ■ Natural Language API ● 結構化資料 ○ AutoML Tables ■ 利用機器學習，快速處理大量的結構 化資料 ○ Recommendations AI ■ 為客戶提供更多他們感興趣的內容 ○ Cloud Inference API ■ 針對已分類的時間序列資料集，快速 執行大規模的關聯性運算。
資料集 SaaS ● Places ○ Scene-centric database with 205 scene categories and 2.5 million images with a category label. ● Stanford Dogs Dataset ○ Contains 20,580 images and 120 different dog breed categories, with about 150 images per class. ● Visual Genome ○ Visual Genome is a dataset and knowledge base created in an effort to connect structured image concepts to language. The database features detailed visual knowledge base with captioning of 108,077 images. ● DensePose ○ Dense human pose estimation aims at mapping all human pixels of an RGB image to the 3D surface of the human body.
標記 SaaS ● LabelMe, the open annotation tool. ○ The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. ● 魁達智慧 - ezLabel ○ 影片連續標記工具 ● Annotorious ○ Open Source Web 標記工具 ● Handl ○ AI 輔助標記服務，80% AI 標 + 20% 人工標 ● LabelBox ○ 線上標記, 協同標記，目前看到最好用的線上標記工具
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