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Amazon Sagemaker Ground Truth

Amazon Sagemaker Ground Truth Alternatives & Competitors

(16)4.1 out of 5

Looking for alternatives to Amazon Sagemaker Ground Truth? Tons of people want Data Labeling Software. What's difficult is finding out whether or not the software you choose is right for you. Hive Data, Clarifai, Labelbox, and SuperAnnotate are the most popular alternatives and competitors to Amazon Sagemaker Ground Truth.

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Top Alternatives to Amazon Sagemaker Ground Truth

  • Hive Data
  • Clarifai
  • Labelbox
  • SuperAnnotate
  • Playment

Top 20 Alternatives & Competitors to Amazon Sagemaker Ground Truth

Browse options below. Based on reviewer data you can see how Amazon Sagemaker Ground Truth stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Education Management, and Accounting, and find the best product for your business.
    #1
  1. Hive Data

    (3)4.7 out of 5
  2. Hive Data is a complete deeplearning toolkit that applies visual intelligence to difficult problems, changing the way businesses analyze unstructured visual data.

    Categories in common with Amazon Sagemaker Ground Truth:
    GI
    Easy to maintain, see results quickly. improved performance a lot
    #2
  3. Clarifai

    (17)4.3 out of 5
    Optimized for quick response
  4. The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.

    Categories in common with Amazon Sagemaker Ground Truth:
    Mikolaj L.
    ML
    I use the product to educate students about cloud-based image processing.

    Reviewers say compared to Amazon Sagemaker Ground Truth, Clarifai is:

    Easier to set up
    Easier to admin
    Easier to do business with
    18%   of software applications aren't well liked by teams using them.
    Find out how your team feels about your stack with G2 Pulse Surveys.
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    #3
  5. Labelbox

    (1)5.0 out of 5
  6. A complete training data platform for AI.

    Categories in common with Amazon Sagemaker Ground Truth:
    Pietro Antonio C.
    PC
    It saves an immense amount of time and allows you to generate a validated dataset in a field plagued by small sample sizes. This in turn allows us to generate impactful work that focuses more on...Read more
    #4
  7. SuperAnnotate

    (9)4.9 out of 5
  8. A complete set of solutions for image and video annotation and an annotation service with integrated tooling, on-demand narrow expertise in various fields, and a custom neural network, automation, and training models powered by AI.

    Categories in common with Amazon Sagemaker Ground Truth:
    Jennifer H.
    JH
    The tooling is very intuitive and enables very accurate pixel-level annotations. Especially once you develop an approach and rhythm for how to annotate a specific project, you can move very...Read more

    Reviewers say compared to Amazon Sagemaker Ground Truth, SuperAnnotate is:

    More usable
    Better at meeting requirements
    Better at support
    #5
  9. Playment

    (2)5.0 out of 5
  10. Playment is a AI and human intelligence platform for web-based tasks. It is designed to provide companies with a scalable and hassle free solution for their data operations with quality assurance.

    Categories in common with Amazon Sagemaker Ground Truth:
    roshni s.
    RS
    Playment not only strives to deliver quality but also keeps their end of the promise when it comes to solving process challenges like TAT, QA phase etc.
    #6
  11. CloudFactory

    (1)4.0 out of 5
  12. CloudFactory is a distributed workforce platform for automating business processes involving data entry, collection or processing.

    Categories in common with Amazon Sagemaker Ground Truth:
    KP
    It provides work from home opportunity with a community welfare project to be carried out by workers every week.
    #7
  13. Appen

    (10)4.5 out of 5
  14. Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

    Categories in common with Amazon Sagemaker Ground Truth:
    GE
    I like how easy it is to use and you can work a little or a lot.

    Reviewers say compared to Amazon Sagemaker Ground Truth, Appen is:

    Easier to set up
    Easier to admin
    Easier to do business with
    #8
  15. V7 Darwin

    (2)5.0 out of 5
  16. Automated Image Annotation and Neural Network training. V7 Darwin is the most powerful platform to automatically create ground truth to enable AIs to learn. Trusted by the likes of Merck, GE Healthcare, and Stanford, our technology speeds up the creation of visual data labels by 10x.

    Categories in common with Amazon Sagemaker Ground Truth:
    AC
    There is so much to like about V7 Darwin, however, their clean and intuitive U/I makes tackling the most challenging data labeling and ML training tasks a breeze. Their pixel perfect auto-annotate...Read more
    #9
  17. Super AI

  18. Super AI Compiler uses AI + Humans to generate, structure, and label any type of data.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #10
  19. Dataloop

    (4)4.7 out of 5
  20. An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.

    Categories in common with Amazon Sagemaker Ground Truth:
    Mohammad N.
    MN
    Dataloop product is a great tool for the whole AI lifecycle including annotation, model evaluation, and model improvement by putting the human feedback in the loop. We have been working with...Read more
    #11
  21. Diffgram Training Data Software

    (1)5.0 out of 5
  22. Diffgram has enabled companies to be fast and agile with deep learning workflow.

    Categories in common with Amazon Sagemaker Ground Truth:
    sandy b.
    SB
    I really like how easy it is to upload data. The "Sync Engine" is super flexible. I can do exactly what I want for getting my tasks done. The team is very responsive to our needs. I like how...Read more
    #12
  23. Sixgill Hyperlabel

  24. Accelerate Time-to-training with Faster, Easier, High-quality Labeling

    Categories in common with Amazon Sagemaker Ground Truth:
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    #13
  25. Datasaur

    (3)4.7 out of 5
  26. Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.

    Categories in common with Amazon Sagemaker Ground Truth:
    UI
    We signed on as a Datasaur customer 2 months ago. During that time, they personally helped onboard our team and taught us all the nuances of the product. Even more importantly, we've made a couple...Read more
    #14
  27. Universal Data Tool

    (1)0.0 out of 5
  28. The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible .udt.json and .udt.csv standard. Collaborate with others in real time, easily train labelers, integrate into your applications. Perform Image Segmentation, Image Classification, Audio Transcription, Named Entity Recognition (NER) and Named Entity Linking (NEL). Run with docker, use with Tensorflow, Keras, or Fast.ai.

    Categories in common with Amazon Sagemaker Ground Truth:
    Severin I.
    SI
    The ease-of-use, both in the app and programmatically, make it both a safe and powerful option.
    #15
  29. Labeling AI

  30. Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time. Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed. Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #16
  31. DefinedCrowd

  32. DefinedCrowd offers a platform that collects, refines and structures high quality training data for AI and MachineLearning systems.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #17
  33. Alegion

  34. Alegion's managed service accelerates enterprise AI initiatives by validating, labeling, and annotating training data.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #18
  35. TaQadam Image Annotation

  36. TaQadam means Progress. TaQadam is a female founded startup that aims to advance economic opportunity for youth and democratize GEO-AI. TaQadam develops imagery solutions for market intelligence, monitoring and measuring of business risks and vulnerabilities. We believe the development of a global map of physical assets and infrastructure is essential in today’s context. Identifying assets (e.g. mines, farm equipment, schools) and their features (e.g. cooling, water tanks, construction materials) is a way to build alternative data for sustainable growth and risk mitigation. Extending an economic opportunity to disadvantaged youth through our image annotation work is at the core of our business.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #19
  37. Supervisely Computer Vision Platform

  38. Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly customizable and can be integrated into any technology stack.

    Categories in common with Amazon Sagemaker Ground Truth:
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    #20
  39. LinkedAI

  40. LinkedAI ML models pre-label the data to remarkably reduce the cost and the time required to annotate your data.

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