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Label Studio VS V7

Compare Label Studio VS V7 and see what are their differences

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Label Studio logo Label Studio

Open Source Data Labeling Platform for AI Model Tuning

V7 logo V7

Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
  • Label Studio Landing page
    Landing page //
    2023-10-15
  • V7 Landing page
    Landing page //
    2023-08-06

Label Studio videos

+ Add

Installing Label Studio Plus Overview of Basic Features

More videos:

  • Review - White Label Studio Review & Coupon
  • Review - Label Studio: Natural Language Annotation & Cloud Storage Integration

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

Category Popularity

0-100% (relative to Label Studio and V7)

Label Studio

V7

AI
26 26%
AI
74% 74
Data Labeling
10 10%
Data Labeling
90% 90
Image Annotation
0 0%
Image Annotation
100% 100
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using Label Studio and V7. 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 Label Studio and V7

Label Studio Reviews

We have no reviews of Label Studio yet.
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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

Social recommendations and mentions

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

Label Studio mentions (1)

  • Annotation is dead
    If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later. - Source: dev.to / about 2 months ago

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

What are some alternatives?

When comparing Label Studio and V7, you can also consider the following products

KopiKat - Generative image data augmentation tool preserving annotations. Enhance the precision of AI models without modifying the network structure.

Labelbox - Build computer vision products for the real world

Theneo - Build Stripe-like API docs in just a few clicks

CloudFactory - Human-powered Data Processing for AI and Automation

Analyzr - The simple, no-code solution for predictive analytics

SuperAnnotate - Empowering Enterprises with Custom LLM/GenAI/CV Models.

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