BasicAI Cloud 每月有 21,670 次造訪，月增率 -13.1%，定價模式為 Freemium, Enterprise Quote。FieldDay · Real-World AI 每月有 0 次造訪，成長率 —，定價模式為免費增值。
為 AI 訓練資料而生的標註平台與託管標註服務
在 iPhone 上訓練自訂視覺 AI——不用寫程式，也不需要資料科學背景。
| 面向／指標 | | |
|---|---|---|
| 官方網域 | basic.ai | apps.apple.com |
| 定價模式 | Freemium, Enterprise Quote | 免費增值 |
| 每月造訪次數 | 2.17萬 (21,670) | 0 (0) |
| 月流量變化量 | -3266 (-13.1%) | 0 (—) |
| 主要市場與市佔 | 🇺🇸 美國 (21.7%) | 🌐 全球 (—) |
| 每月直接造訪 | 8706 | 0 |
| 使用者評分 | 4.2 | 4.2 |
| 支援平台 | 網站 | 應用程式 |
為 AI 訓練資料而生的標註平台與託管標註服務
在單一平台內支援邊界框、多邊形、關鍵點、語意分割、3D 點雲立方體、文字/NLP 標註以及 RLHF 資料集建立。
涵蓋圖像、點雲與音訊的自動標註輔助，在維持精度的同時減少人工投入。
專案管理可適配團隊結構，支援自訂工作流程、進度追蹤與詳細績效報表。
即時回饋結合可自訂的批次質檢規則，及早發現問題並鎖定人工複核範圍。
在 iPhone 上訓練自訂視覺 AI——不用寫程式，也不需要資料科學背景。
用 iPhone 相機蒐集自訂影像資料集，直接在手機上訓練視覺分類器，無需雲端往返，也不必寫程式。
每一次誤判都能就地修正，讓你在真實使用中持續迭代提升模型表現。
將 HomeKit 燈具、插座、風扇或情境關聯到特定類別，相機辨識到物件時即可立即叫出對應控制項。
把訓練好的分類器帶出 FieldDay，在 Siri 捷徑、Snap Lens Studio、Xcode 及其他主流格式與工具中重複使用。
用一句話描述就能打造可用的應用、網站與 AI 代理
免費 / 開源在本機或雲端執行與打造開源 AI 模型
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免費 / 開源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
免費 / 開源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
