Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
A Must Have Aid For Precise Language Data Annotation
What do you like best about the product?
Cleanlab Studio’s big advantage lies in automating the finding of mislabeled data, a game-changer for our AI projects. It boasts an easy-to-use interface and strong algorithms that significantly reduce data cleaning time, thereby allowing our team to engage more on model development. What’s more, this has made it possible to improve workflows through seamless integration with existing data pipelines thus making maintenance of high-quality datasets easier.
What do you dislike about the product?
The main limitation is that there are no advanced customization options available for the purpose of cleaning up the data. In some cases where more detailed control would have been useful, although automated features can be very effective. Also, setting up initially may be somewhat complicated and requires some familiarization time with all these functionalities.
What problems is the product solving and how is that benefiting you?
Mislabeled data is a major concern addressed by Cleanlab Studio which affects performance of machine learning models severely. This enhances model precision by automating validation and correction processes of its datasets reducing manual data checks lead times. Thus we have seen shorter time frames for project completion and higher customer contentment resulting into success because it aligns perfectly with our agency’s need for speed and accuracy.
- Leave a Comment |
- Mark review as helpful
Helpful for fixing large data.
What do you like best about the product?
I like it's ability to clean data automatically.
What do you dislike about the product?
It is unnecessary for a small business like ourselves. We do not need to outsource. This is the kind of thing that large companies need to quickly examine unruly amounts of data.
What problems is the product solving and how is that benefiting you?
We need a way to make sure we don't have errors in our data as we are building a database of information. This looked promising but it is beyond what we need.
Restraining Uproarious Information for Dependable Models
What do you like best about the product?
Cleanlab has capacity to recognize and fix mistakes in my datasets. This is critical for my work, as even limited quantities of awful information can fundamentally influence the exhibition of man-made intelligence models. Cleanlab permitting me to zero in on other essential undertakings.
What do you dislike about the product?
Some of the time its proposed adjustments require further manual mediation. This can be tedious for huge datasets. Furthermore, the stage's UI can be marginally overpowering from the get go, demanding an investment to gain proficiency with its full capacities.
What problems is the product solving and how is that benefiting you?
Cleanlab has been significant in guaranteeing the nature of my information, prompting more exact and dependable artificial intelligence models. This, thus, has worked on the general viability of my tasks, saving personal time and assets. The capacity to distinguish and fix mistakes rapidly permits me to repeat my models.
showing 1 - 3