ByteBridge

What do you like best?

ByteBridge.io has made a breakthrough on its automated data labeling dashboard where we can create the data annotation projects by ourselves. Since most of the data processing is completed on the platform, I can upload the data, keep track of the project progress, download the output in real-time, thereby improving work efficiency. The process is as flexible as we want. Moreover, the pricing is attractive, we could save resources for the more important task.

What do you dislike?

It is better if there are more study cases on the site.

Recommendations to others considering the product:

Without labeled data, there is no model.

I strongly recommend you to have a try on Bytebridge's dashboard. It's kind of a self-service.

Choosing a good data labeling outsourcing service could become your competitive advantage and help your model performance more successful.

What problems are you solving with the product? What benefits have you realized?

As far as we know, anything that separates the machine learning model from that of the other's model would be the quality of data. The accuracy is so important as we need to avoid sample bias.

Bytebridge could provide high-quality data in a shorter time.