Header banner
Revain logoHome Page
clarifai logo

Clarifai Review

2

·

Excellent

Revainrating 5 out of 5  
Rating 
5.0
Artificial Intelligence, Data Labeling

View on AmazonView on ЯM

Description of Clarifai

Clarifai offers an end-to-end AI lifecycle platform for deep learning and unstructured data that transforms unstructured images, video, and text into structured data, significantly faster and more accurately than humans would be able to do on their own. Clarifai has won numerous awards and is recognized by Forrester as a leader in computer vision platforms in line with companies such as Google and Microsoft. The company was founded in 2013 by CEO Matt Zeiler, Ph.D., after winning the top 5 places at ImageNet. Clarifai continues to grow with 80+ employees at our headquarters in Delaware and offices in San Francisco, DC, and Tallinn, Estonia.

Reviews

Global ratings 2
  • 5
    2
  • 4
    0
  • 3
    0
  • 2
    0
  • 1
    0

Type of review

Revainrating 5 out of 5

Clarify AI has made working at scale possible for Machine Learning

I love how easy it is to train models using the api and visualize all of my results. It makes me feel like i'm doing something useful! I wish there were more training examples available. My first use case was to extract people from images. I also used it to extract animals from videos. I have not found anything that i dislike about clarifai. I am using it to solve problems in my work everyday. I can't think of any downsides. If you are interested in solving problems with image recognition this

Pros
  • Ability for users without machine learning experience or coding skills just point an existing model into your data set
  • Useful tutorial site (https://clarifyit/tutorials)
  • Easy visualization tools included as part fo service
Cons
  • Not bad

Revainrating 5 out of 5

Very good Machine learning infrastructure especially suitable

- Ability to train models from scratch.- Easy API access (no need of coding).- Highly scalable architecture.- Support both ROCm and Python APIs.- Good support team. I am using it currently mainly because of its scalability but overall experience so far great! No dislikes yet though we are very new user still. Currently working around image recognition problem where i have quite large dataset having about 4GB worth of training samples which needs to get processed quickly without any loss in…

Pros
  • Very fast
  • Tremendously configurable by providing pretrained weights as needed.
  • Great customer service provided too
  • Can work seamlessly across platform like GPUs, CPU clusters & containers easily
Cons
  • All fine