A very good tool for machine learning in AWS. A lot of technical stuff is handled by the platform itself. This is a boon especially in situations where you need to perform hyperparameter tuning. It does a lot of stuff for you so your work is made easier!
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...
I was exploring a few annotation tools to select for our project and SuperAnnotate was the best choice in terms of the introduction and onboarding. We were trained and ready to kickstart the project in no time.
A very good tool for machine learning in AWS. A lot of technical stuff is handled by the platform itself. This is a boon especially in situations where you need to perform hyperparameter tuning. It does a lot of stuff for you so your work is made easier!
I was exploring a few annotation tools to select for our project and SuperAnnotate was the best choice in terms of the introduction and onboarding. We were trained and ready to kickstart the project in no time.
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...