
Defined.ai 每月有 146,251 次造訪,月增率 -21%,定價模式為需聯絡報價。RunningHub 每月有 3,105,554 次造訪,成長率 -28.5%,定價模式為免費增值。
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | definedcrowd.com | runninghub.ai |
| 定價模式 | 需聯絡報價 | 免費增值 |
| 每月造訪次數 | 14.63萬 (146,251) | 310.56萬 (3,105,554) |
| 月流量變化量 | -3.88萬 (-21%) |
| -123.77萬 (-28.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (20.6%) | 🇨🇳 中國 (52.7%) |
|---|
| 每月直接造訪 | 8.44萬 | 229.72萬 |
|---|
| 使用者評分 | 4.4 | 4.4 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
企業級 AI 訓練資料、標註與評估服務
提供涵蓋音訊、圖像、影片、文字與多模態格式的大量合規來源資料集,支援進階篩選與免費樣本。
面向文字、音訊、圖像與影片的專家驗證標註,採用模型優先、人在迴路的工作流程,兼顧準確性與公平性。
面向全球 AI 系統的高品質多語言內容,覆蓋 500 多種語言、方言與語區。
面向訓練的大規模全球化多元資料蒐集,每個資料集都經過隱私與安全審查。

RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app 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.

專項更強Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
免費 / 開源簡化了電腦視覺資料集標註與模型部署,但缺乏 Defined.ai 廣泛的人工群眾外包服務。
專項更強面向電影級影片與圖像的 AI 原生創作套件
一站式 AI 影片、圖像與代理式內容創作工作室
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.
專項更強在瀏覽器中免費生成 AI 圖像與影片,並託管模型
專項更強Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.