Software Alternatives & Reviews

Shaip VS SuperAnnotate

Compare Shaip VS SuperAnnotate and see what are their differences

Shaip logo Shaip

A complete Training Data Platform to create, collect, curate, label, & annotate datasets for your AI / ML use cases i.e. Conversational AI, Chatbots, Facial Recognition, NLP & Computer Vision

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.
  • Shaip Landing page
    Landing page //
    2021-04-20

Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.

  • SuperAnnotate Landing page
    Landing page //
    2023-10-10

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

Shaip features and specs

No features have been listed yet.

SuperAnnotate features and specs

  • Activity dashboard: yes
  • Configurable workflow: yes
  • Data import/export: yes
  • Performance metrics: yes
  • Real time analytics: yes
  • Third-party integrations: yes
  • Collaboration tools: yes
  • Data visualization: yes
  • Drag and drop: yes
  • Multiple data sources : yes
  • Reporting/analytics: yes
  • Task management: yes
  • Visual analytics: yes
  • Monitoring: yes
  • Real-time monitoring: yes
  • Secure data storage: yes
  • Trend analysis: yes
  • Visual discovery: yes

Shaip videos

Shaip: Better AI Data | Better Results

SuperAnnotate videos

No SuperAnnotate videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Shaip and SuperAnnotate)
Image Annotation
29 29%
71% 71
Data Labeling
20 20%
80% 80
Training Data
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Shaip and SuperAnnotate

Shaip Reviews

  1. Good Experience

    Working for 5 years and it's been a great experience.

    🏁 Competitors: Appen, DefinedCrowd

SuperAnnotate Reviews

Top Video Annotation Tools Compared 2022
In this blog, we’ll quickly explore annotation platforms and the features they offer to help improve the video annotation process. We’ll be looking closely at six big names in the video annotation market: Innotescus, Dataloop, Scale, V7, SuperAnnotate, and Labelbox.
Source: innotescus.io

Social recommendations and mentions

Based on our record, SuperAnnotate seems to be more popular. It has been mentiond 1 time 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.

Shaip mentions (0)

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

SuperAnnotate mentions (1)

  • data-labeling tools comparison
    Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: almost 3 years ago

What are some alternatives?

When comparing Shaip and SuperAnnotate, you can also consider the following products

CloudFactory - Human-powered Data Processing for AI and Automation

Labelbox - Build computer vision products for the real world

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

BasicAI - BasicAI combines the best of human and machine intelligence to provide high-quality annotated training data that powers the most innovative machine learning.

Hive - Seamless project management and collaboration for your team.