BasicAI Cloud 记录了 21,670 月访问量，月度环比增长为 -13.1%，定价为 Freemium, Enterprise Quote。Neural Network（leapai.top）记录了 591 月访问量，增长率为 +143.2%，定价为免费。
为 AI 训练数据而生的标注平台与托管标注服务
可视化、可交互的神经网络与深度学习教程
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | basic.ai | leapai.top |
| 定价模式 | Freemium, Enterprise Quote | 免费 |
| 月访问量 | 2.17万 (21,670) | 591 (591) |
| 月度环比流量变化 | -3266 (-13.1%) | +348 (+143.2%) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🇬🇧 英国 (100%) |
| 直接访问 / 月 | 8706 | 213 |
| 用户评分 | 4.2 | 4.2 |
| 支持的平台 | 网站 | 网站 |
为 AI 训练数据而生的标注平台与托管标注服务
在一个平台内支持边界框、多边形、关键点、语义分割、3D 点云立方体、文本/NLP 标注以及 RLHF 数据集创建。
覆盖图像、点云与音频的自动标注辅助，在保持精度的同时减少人工投入。
项目管理可适配团队结构，支持自定义工作流、进度追踪与详细绩效报表。
实时反馈结合可定制的批量质检规则，及早发现问题并锁定人工复核范围。
可视化、可交互的神经网络与深度学习教程
内置 2D 与 3D 数据集，覆盖分类与回归任务的交互式实验环境，可实时看到结果变化。
精心设计的任务循序渐进地引入核心概念，让你通过解决问题而不是只读理论来建立深度直觉。
可视化知识库，覆盖激活函数、正则化项、损失函数、分类、Embedding、CNN1d/CNN2d、RNN 等，并持续更新更多知识点。
通过拖拽模块化组件搭建模型，实时显示每步输出，并自动检测参数与输入类型不兼容等错误。
免费 / 开源在本地或云端运行和构建开源 AI 模型
免费 / 开源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.
免费 / 开源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.
免费 / 开源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.
免费 / 开源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.
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
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.
在互联环境中跟踪、评估并交付 AI 模型与智能体。
