Software Alternatives & Reviews
Register | Login

AWS SageMaker Ground Truth VS FakeClients Feedback

Compare AWS SageMaker Ground Truth VS FakeClients Feedback and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

AWS SageMaker Ground Truth logo AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

FakeClients Feedback logo FakeClients Feedback

🖌 A simple, free to use platform for design feedback
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14
  • FakeClients Feedback Landing page
    Landing page //
    2023-07-28

Category Popularity

0-100% (relative to AWS SageMaker Ground Truth and FakeClients Feedback)

AWS SageMaker Ground Truth

FakeClients Feedback

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Design Tools
0 0%
Design Tools
100% 100
Data Labeling
100 100%
Data Labeling
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using AWS SageMaker Ground Truth and FakeClients Feedback. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, AWS SageMaker Ground Truth seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS SageMaker Ground Truth mentions (3)

  • [D] What are people using to organize large groups of people for data labelling?
    Perhaps https://aws.amazon.com/sagemaker/data-labeling/ ? Source: almost 2 years ago
  • Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021
    In this session you will discover how to use Amazon SageMaker to prepare data for machine learning in minutes. SageMaker provides data preparation tools that make it easier to label, prepare, and analyse your data. Walk through a complete data-preparation workflow, including how to use SageMaker Ground Truth to label training datasets, as well as how to extract data from numerous data sources, convert it using... - Source: dev.to / over 2 years ago
  • Blocked by MLData…it was only a matter of time
    As for who run MLD I guess It’s Amazon itself, have a look at this https://aws.amazon.com/sagemaker/groundtruth/. I speculate that multiple companies use this resource and they are the one responsible to upload the correct instructions, Amazon just redirect the labeling job for us using and requester account in mTurk, that explains why the communication is unacceptable with this requester. Source: over 2 years ago

FakeClients Feedback mentions (0)

We have not tracked any mentions of FakeClients Feedback yet. Tracking of FakeClients Feedback recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS SageMaker Ground Truth and FakeClients Feedback, you can also consider the following products

Computer Vision Annotation Tool (CVAT) - Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Loops Feedback - Feedback on design ideas in minutes via 110m+ people

Labelbox - Build computer vision products for the real world

Basil Chat - Design feedback via chat

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Marker.io for Slack - Turn screenshots into Slack messages ✌️

Loading...