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V7 VS SuperAnnotate

Compare V7 VS SuperAnnotate and see what are their differences

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V7 logo V7

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

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.
  • V7 Landing page
    Landing page //
    2023-08-06
  • 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.

V7 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

V7 videos

+ Add

Automated Image Labelling with Auto-Annotate - V7 Darwin

More videos:

  • Review - Annotation Basics (OLD) - V7 Darwin AI Academy
  • Review - Video Annotation - V7 Darwin

SuperAnnotate videos

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

+ Add video

Category Popularity

0-100% (relative to V7 and SuperAnnotate)

V7

SuperAnnotate

Data Labeling
61 61%
Data Labeling
39% 39
Image Annotation
63 63%
Image Annotation
37% 37
Data Science And Machine Learning
57 57%
Data Science And Machine Learning
43% 43
AI
61 61%
AI
39% 39

User comments

Share your experience with using V7 and SuperAnnotate. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare V7 and SuperAnnotate

V7 Reviews

Top Video Annotation Tools Compared 2022
V7 allows for collaboration and automated workflows, so you can reach human accuracy faster with 10x more training data. V7 offers features similar to Innotescus like
Source: innotescus.io

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

SuperAnnotate might be a bit more popular than V7. We know about 1 link to it since March 2021 and only 1 link to V7. 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.

V7 mentions (1)

  • Ask HN: Who is hiring? (December 2022)
    Https://v7labs.com We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -... - Source: Hacker News / over 1 year ago

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 V7 and SuperAnnotate, you can also consider the following products

Labelbox - Build computer vision products for the real world

CloudFactory - Human-powered Data Processing for AI and Automation

Segments.ai - Multi-sensor labeling platform for robotics and autonomous driving

Hive - Seamless project management and collaboration for your team.

Dataloop AI - Enterprise grade data platform for AI systems in development and in production.

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

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