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。MagicaLCore 记录了 0 月访问量，增长率为 —，定价为免费增值。
为 AI 训练数据而生的标注平台与托管标注服务
MagicaLCore is an iPad app for training your own machine learning models without writing a single line of code. Import photos, recordings, texts or CSV tables, watch training progress live, test the model with the camera or microphone, and export the finished result as a .mlmodel for Xcode and Swift Playgrounds.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | basic.ai | apps.apple.com |
| 定价模式 | Freemium, Enterprise Quote | 免费增值 |
| 月访问量 | 2.17万 (21,670) | 0 (0) |
| 月度环比流量变化 | -3266 (-13.1%) | 0 (—) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🌐 全球 (—) |
| 直接访问 / 月 | 8706 | 0 |
| 用户评分 | 4.2 | 4.2 |
| 支持的平台 | 网站 | 应用 |
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。
MagicaLCore is an iPad app for training your own machine learning models without writing a single line of code. Import photos, recordings, texts or CSV tables, watch training progress live, test the model with the camera or microphone, and export the finished result as a .mlmodel for Xcode and Swift Playgrounds.
Train image classifiers, sound recognizers, hand-pose and hand-action models, text classifiers, and tabular-data predictors from a single interface.
Import your own photos, recordings, texts or CSVs and watch accuracy and loss update in real time — all processed locally, even without a connection.
Stop a long training run and pick it up later from the history, with consistent validation and the best-performing checkpoint exported.
Evaluate a trained model instantly using photos, files and videos, or in real time through the device camera and mic.
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。
专项更强检查你的显卡或 Mac 究竟能跑哪些本地 AI 模型
免费 / 开源Label Studio is an open-source data labeling and AI evaluation platform from HumanSignal. It handles images, video, audio, text, documents, time series and agent traces in one flexible workspace, and connects to your ML pipeline through an API, Python SDK and webhooks.
免费 / 开源Label Studio is an open-source data labeling and AI evaluation platform from HumanSignal. It handles images, video, audio, text, documents, time series and agent traces in one flexible workspace, and connects to your ML pipeline through an API, Python SDK and webhooks.
