Create pixel-perfect, high quality training data
to unblock your CV data needs
Identify objects in an image
Segment an image into different specified parts
Assign labels and attributes to classify your data
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自助标签的最佳界面。从上传数据到实时查看其标签，一切都非常酷。该平台完全满足了我们所需的标签质量，这给我们留下了深刻的印象。
注释者真的很快。上传数据 5 分钟后检查——已完成 100 张图片。
实时查看生成的标签为我提供了有关标签质量的即时反馈。不用再等整批了。这取代了我使用外部工具（例如Voxel的FiftyOne）的标准手动质量保证流程。
SUPA 为我们提供了高质量的判断，以训练、调整和验证我们的搜索和推荐模型。在此之前，很难扩展我们的标签工作流程。
最突出的是他们致力于在整个数据标签过程中提供一致的支持。该团队积极与我们合作，以消除数据集中的任何歧义，包括我们未预见到的边缘案例。
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If there's one thing that makes SUPA stand out, it's their commitment to providing consistent support throughout the data labeling process. The team actively and efficiently engaged with us to ensure any ambiguity in the dataset was cleared up.
Everything from uploading data to seeing it labeled in real time was really cool. This is just way simpler to use compared to Amazon Sagemaker and LabelBox. I was also very impressed with how the platform delivered exactly what we needed in terms of label quality.
I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's Fiftyone, as the labels were clear and easy to parse through in real-time.
The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.
The team at [SUPA] has been very professional & easy to work with since we started our collaboration in 2019. They've provided us with good quality judgments to train, tune, and validate our Search & Recommendations models.
Let us walk you through the entire data labeling experience, from set up to export
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