跨行业多模态 AI 数据应用场景

了解 AI 团队如何使用 Unitlab 筛选、标注、审核并管理多模态训练数据的版本。将各行业的数据需求转化为实用工作流程和可用于训练的发布版本。

Bounding boxes label clothing and shoes on three people.

Bounding boxes identify milk, coffee, and fruit puree products on a supermarket shelf.

Bounding boxes identify apples growing on tree branches.

Bounding boxes label cars, pedestrians, bicycles, road signs, and traffic lights in a city street.

解决方案

探索适合您所在行业的数据工作流程。筛选相关样本，使用统一标签进行标注，审核结果，并准备可用于训练的发布版本。

Warehouse robotic arm and automated guided vehicle handling and moving boxes on pallets in an industrial storage facility.

机器人

为机器人相机图像和示范视频标注对象、姿态与交互。审核标注结果，发布一致的训练数据。

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Blurred crowd with red facial recognition boxes identifying three individuals with their IDs and headshots.

视频监控

标注摄像头视频中的对象、轨迹和事件。审核时序一致性，为计算机视觉模型准备带标签的视频数据集。

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Chest X-ray showing the lungs with two green highlighted areas on the upper sections of both lungs.

健康

借助专家定义的标签和审核流程准备医学影像与病理数据。检查标注依据，为医学 AI 研究发布数据集。

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Aerial view of six suburban houses with brown roofs arranged in two rows, casting shadows on green lawns and driveways.

地理空间与航空

使用无人机监控场景和环境是农业变革的关键方面。

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Warehouse shelving filled with multiple stacked cardboard boxes labeled 'Box' and one area labeled 'Free'.

物流

标注包裹、仓库场景和运输单据。审核对象边界与提取字段，为物流 AI 模型准备数据。

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Traffic scene on a multi-lane road with several cars, a person riding a bicycle, and a bus in the right lane.

交通

标注图像和视频中的车辆、道路要素与交通事件。审核复杂场景，为交通 AI 管理训练数据集版本。

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Grocery store shelf displaying various almond milk and coconut milk beverage cartons and bottles with price tags.

电子商务

标注产品图像、目录属性和相关文本。审核类别与属性的一致性，准备视觉搜索、分类和商品目录 AI 数据集。

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Green apples on a tree branch with AI detection boxes labeled 'Apple' around each fruit.

农业

标注地面和航拍图像中的作物、可见植物状况与田地区域。为农业计算机视觉模型准备经过审核的样本。

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A cash receipt from a shop showing placeholder text for name, address, phone, item descriptions with prices, total amount, cash paid, change, and a bank card approval code.

金融科技

按照统一规范标注文档字段、实体和文本类别。审核结构化输出，为金融 AI 工作流准备可追溯版本的数据集。

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Handwritten notes explaining writing structure with headings, introduction, and main content on lined paper.

教育

使用一致的类别和实体标注教育文本、文档与录制内容。审核结果，为学习应用准备数据集。

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Portrait of a woman with facial recognition geometric lines and points overlaid on her face with a blue background.

面部识别

标注图像数据集中的面部区域与关键点。审核标签一致性，为计算机视觉研究准备经过评估的样本。

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Living room with two armchairs and a coffee table highlighted with orange and blue outlines in front of a fireplace and wall clock.

增强现实

标注真实场景中的对象、表面与关键点。审核图像和视频标注，为 AR 与 VR 体验背后的感知模型准备数据。

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使用 Unitlab 安全地整合您的数据和工作流程

Unitlab 可与 AWS、Google Cloud、Azure、PyTorch、TensorFlow、Keras 以及 Weights & Biases 集成，通过我们的 API 和 SDK，为您提供对项目、数据集和标注的安全访问。

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Unitlab AI SDK and API code integration

探索数据标注

了解数据标注的艺术与科学，这是为 AI 和机器学习准备数据的关键一步，可确保模型训练的准确性和效率。

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