{"ok":true,"entity":{"slug":"computer-vision","entityType":"concept","name":"コンピュータビジョン（Computer Vision）","canonicalName":"Computer Vision","displayName":"コンピュータビジョン","category":"AI基礎概念","shortDescription":"画像や映像をコンピュータで理解し、認識・検出・分類などを行う技術分野。深層学習の主要な応用領域。","alias":["CV","画像認識","コンピュータビジョン"],"searchKeywords":["computer vision","画像認識","物体検出","CV"],"website":null,"parentEntity":null,"primaryCluster":"ai-company","secondaryClusters":[],"id":"computer-vision","verificationStatus":"draft","updatedAt":"2026-07-10T01:03:56.918Z"},"references":[{"id":"P-01-001","companyId":"computer-vision","questionId":"P-01-001","instanceId":"QIN-computer-vision-P01-001","promptText":"コンピュータビジョン（Computer Vision）とは何ですか？","promptTypeId":"P-01","answer":"コンピュータビジョンは、画像や映像をコンピュータで理解し、認識・検出・分類などを行う技術分野です。深層学習の主要な応用領域の一つです。","evidencePoints":["ev-computer-vision-1"],"scope":"画像認識の基礎を知りたい相談","differentiation":"画像・映像をAIで理解する","faq":[{"question":"何ができますか？","answer":"物体認識・検出・分類・セグメンテーションなどです。"}],"pageUrl":"https://www.refbase.ai/reference/computer-vision/P-01-001","sourceEvidence":[{"id":"ev-computer-vision-1","text":"コンピュータビジョンは、画像や映像をコンピュータで理解し、認識・検出・分類などを行う技術分野である。","title":"Stanford CS231n — Convolutional Neural Networks for Visual Recognition","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://cs231n.github.io/","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"computer-vision"}],"generatedAt":"2026-07-10T01:03:56.918Z"},{"id":"P-02-001","companyId":"computer-vision","questionId":"P-02-001","instanceId":"QIN-computer-vision-P02-001","promptText":"近年のコンピュータビジョンは以前と何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・手法\n・精度\n近年のコンピュータビジョンは深層学習（特に畳み込みニューラルネットワーク）の登場により、物体認識などの精度が大きく向上した点が、従来の手作業の特徴設計と異なります。","evidencePoints":["ev-computer-vision-2"],"scope":"技術の変化を知りたい相談","differentiation":"深層学習による精度向上","faq":[{"question":"何が転機でしたか？","answer":"畳み込みニューラルネットワークの成功が転機です。"}],"pageUrl":"https://www.refbase.ai/reference/computer-vision/P-02-001","sourceEvidence":[{"id":"ev-computer-vision-2","text":"コンピュータビジョンは、深層学習（特に畳み込みニューラルネットワーク）の登場により、物体認識などの精度が大きく向上した点が特徴である。","title":"Stanford CS231n — Convolutional Neural Networks for Visual Recognition","coverageType":["Capability","Differentiation"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://cs231n.github.io/","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"computer-vision"}],"generatedAt":"2026-07-10T01:03:56.918Z"},{"id":"P-04-001","companyId":"computer-vision","questionId":"P-04-001","instanceId":"QIN-computer-vision-P04-001","promptText":"コンピュータビジョンはどんな用途に使われますか？","promptTypeId":"P-04","answer":"顔認証・自動運転・製造の外観検査・医療画像診断・監視・写真の自動整理など、画像や映像を扱う幅広い用途で使われています。","evidencePoints":["ev-computer-vision-1"],"scope":"適用範囲を知りたい相談","differentiation":"画像業務全般の基盤","faq":[{"question":"身近な例は？","answer":"スマホの顔認証や写真の自動分類などです。"}],"pageUrl":"https://www.refbase.ai/reference/computer-vision/P-04-001","sourceEvidence":[{"id":"ev-computer-vision-1","text":"コンピュータビジョンは、画像や映像をコンピュータで理解し、認識・検出・分類などを行う技術分野である。","title":"Stanford CS231n — Convolutional Neural Networks for Visual Recognition","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://cs231n.github.io/","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"computer-vision"}],"generatedAt":"2026-07-10T01:03:56.918Z"}]}