Voxel 的转型：增强内部标记操作以获得高质量的训练数据
技术
- 分析与建模 - 计算机视觉软件
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 教育
- 设备与机械
适用功能
- 质量保证
用例
- 计算机视觉
- 视觉质量检测
服务
- 系统集成
- 培训
关于客户
Voxel 是一家利用人工智能和计算机视觉来改变公司管理风险和运营方式的公司。他们通过实时人工智能增强客户的安全摄像头，以检测危险、危险活动和运营效率低下。他们的技术提供了洞察力，可以在伤害发生之前预防伤害，并改善危险和动态环境中的安全文化。为了开发强大的计算机视觉系统，Voxel 需要大量高质量的训练数据。他们拥有一支由主题专家组成的内部注释团队，他们精通处理 Voxel 的特定用例。
挑战
Voxel 是一家利用人工智能和计算机视觉来管理风险和运营的公司，面临着两个重大挑战。首先，他们需要为其计算机视觉系统维护高质量的训练数据。其次，他们寻求自动化标签流程以提高吞吐量，同时保留内部注释团队。 Voxel 已经投资了一个由主题专家组成的内部注释团队，但他们在标签操作的效率方面遇到了困难。他们一直在使用开源解决方案计算机视觉注释工具（CVAT），当他们增加模型训练所需的注释量时，该解决方案造成了瓶颈。从操作角度来看，Voxel 发现很难有效地收集数据和有关数据标记过程的见解，从而导致大量的手动工作。该工具无法有效地将数据质量与各个注释器联系起来，因此很难确定低质量标签的原因。在工程方面，Voxel 必须为新客户项目定制数据管道，这个过程需要多名工程师为每个项目花费四个星期的时间。
解决方案
Voxel 与 Scale Studio 合作克服了他们的挑战。选择 Scale Studio 是因为其全面的管理功能、数据管道的轻松集成、集成 ML 工具的生态系统以及处理数十亿注释的经验。 Scale Studio 的功能包括培训课程、基准测试任务和注释器指标（例如吞吐量、效率和准确性）。该平台还提供 API，以便轻松集成数据管道和快速设置标签项目。 Scale Studio 的集成 ML 工具生态系统（例如用于数据集管理和管理的 Nucleus，以及用于 Scale 管理的数据集注释的 Rapid）也很有用。 Scale Studio 的客户成功和工程团队提供了强大的技术知识和响应能力，与 Voxel 合作，确保提取复杂的可变帧率 (VFR) 视频的所有帧，以最大限度地提高注释和模型的准确性。
运营影响
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