技术
- 分析与建模 - 计算机视觉软件
- 分析与建模 - 机器学习
适用行业
- 农业
- 教育
适用功能
- 质量保证
用例
- 自主机器人
- 视觉质量检测
服务
- 数据科学服务
- 测试与认证
关于客户
Orchard Robotics 是一家为农民提供人工智能优先的精准作物管理方法的公司。他们开发了安装在拖拉机上的人工智能摄像头系统,可以收集果园中每棵树的精确数据。他们的 Orchard OS 软件平台与现有农场运营集成,允许农民直接根据这些数据采取行动。通过使用机器学习模型从 TB 级图像数据中提取见解,Orchard Robotics 使农民能够精确管理农作物,从而更高效地为世界生产更多粮食。
挑战
Orchard Robotics 是一家为农民提供人工智能优先精准作物管理解决方案的公司,在收集和利用大型商业果园的精准数据方面面临着重大挑战。该公司开发了安装在拖拉机上的人工智能摄像头系统,用于收集每棵树的精确数据。然而,该公司需要准确地计算每棵树上的每个果实,这项任务被证明是非常困难和乏味的,特别是当果实很小时。作为一个小团队,Orchard Robotics 努力在内部扩展这些注释。他们最初尝试使用其他三种主要的数据标签服务,但无法达到所需的一致质量。批次之间的质量差异很大,并且他们无法向注释者提供有关标签质量的反馈。这些平台也不提供椭圆作为注释类型,迫使 Orchard Robotics 依赖边界框,这是标记球形水果时不太理想的选择。
解决方案
Orchard Robotics 转向 Scale Rapid 寻求高质量且注重细节的注释。 Scale Rapid 在短短 12 小时内就提供了注释批次的结果,比以前的服务所需的 4-5 天显着缩短。他们的注释质量也得到了提高,即使对于复杂的高分辨率图像,Scale Rapid 也能返回高质量的注释。 Scale Rapid 使 Orchard Robotics 能够向注释者提供直接反馈并监控注释进度,确保在明确定义的时间表内提供可靠、高质量的注释。 Scale Rapid 还自动控制标签的质量,并提供 API,使 Orchard Robotics 能够在其不断发展的过程中自动执行注释请求。
运营影响
数量效益
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