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r/MachineLearning· /u/Chaseboost·· 4 小时前AI 评分21

如何找到可靠的大规模训练数据合作伙伴?[P]

Where can you find dependable partners for large-scale training data? [P]

AI 导读

有开发者正在为持续增长的项目寻找能稳定交付数百万级样本、且具备严格质量检查的数据合作方,但主流标注供应商的官网难以区分真实产能与营销包装。他更想了解第一手经验:哪些供应商真正处理过高体量数据采集或标注、签约前如何测试质量、以及该选一家大厂还是分散给多个小团队。

正文

The project is growing, and we are trying partners capable of delivering big datasets on a steady basis, potentially millions of samples, backed by strong quality checks. I have looked into the major annotation providers, but their websites make it difficult to separate the ones that handle real volume from the ones with strong marketing.

Here is what I want to understand:

Which providers have handled high-volume data collection or labelling for you, and would you hire them again?

What did you do to test quality before signing a large contract? A trial batch, a sample review, or something different?

Which warning signs did you learn to catch early, like late deliveries, uneven labelling, or vague sourcing and consent practices?

Does it make more sense to rely on one major vendor or to divide the work among a few smaller teams?

I am more interested in first-hand experience than lists of vendors. Once we decide, I will post our choice in case it is useful to anyone.

submitted by /u/Chaseboost
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来源:r/MachineLearning · reddit.com