Labelbox 记录了 762,803 月访问量，月度环比增长为 -22.8%，定价为定价请咨询。Markup: Document Annotation 记录了 263 月访问量，增长率为 -17.8%，定价为免费。
借助 AI 辅助标注，将自由文本变成结构化的可训练数据。
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | labelbox.com | getmarkup.com |
| 定价模式 | 定价请咨询 | 免费 |
| 月访问量 | 76.28万 (762,803) | 263 (263) |
| 月度环比流量变化 | -22.52万 (-22.8%) | -57 (-17.8%) |
| 主要市场与份额 | 🇺🇸 美国 (21.9%) | 🇹🇷 土耳其 (100%) |
| 直接访问 / 月 | 37万 | 109 |
| 用户评分 | 4.4 | 4 |
| 支持的平台 | 网站 | 网站 |
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
覆盖视觉、语言与生成任务的结构化标注、数据策展、模型评估与人机协同复核，构成训练与评估数据的基础。
Recursion 智能体由构建、告警、代码提交、检查点和定时任务自主启动，并在后台持续工作直至任务完成且可审查。
专业智能体覆盖软件工程、可靠性、安全、ML 研究、评估、研发、产品与财务，从修复不稳定测试到撰写事故复盘初稿。
每次运行都由评分智能体打分，评分后的会话留下记忆、笔记与技能，供下一次会话在行动前读取。
借助 AI 辅助标注，将自由文本变成结构化的可训练数据。
对文档和自由文本进行标注，把姓名、实体、关系和字段抽取为整洁的表格或 JSON 输出。
专为 NLP 与机器学习流程打造，导出的数据集无需大量重新格式化即可接入模型训练流水线。
AI 会给出标签和抽取建议，减少重复的手工工作，同时让你对正确性保留最终决定权。
交互式演示让你在正式开展完整项目之前先体验标注流程。
专项更强简化从标注到模型部署的端到端计算机视觉工作流程，但缺乏 Labelbox 的通用企业级智能体编排功能。
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.
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
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.
专项更强Focuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
专项更强Focuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
由大模型驱动的文档解析工具，将邮件、PDF 与各类文档转为结构化 JSON
由大模型驱动的文档解析工具，将邮件、PDF 与各类文档转为结构化 JSON
