Software Alternatives, Accelerators & Startups

V7 VS Prodigy

Compare V7 VS Prodigy and see what are their differences

V7 logo V7

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

Prodigy logo Prodigy

Radically efficient machine teaching
  • V7 Landing page
    Landing page //
    2023-08-06
  • Prodigy Landing page
    Landing page //
    2023-10-22

V7 videos

Automated Image Labelling with Auto-Annotate - V7 Darwin

More videos:

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

Prodigy videos

The Prodigy - Movie Review

More videos:

  • Review - Prodigy Math Game Review
  • Review - PRODIGY MATH for Homeschool?! Hmm...

Category Popularity

0-100% (relative to V7 and Prodigy)
Data Labeling
100 100%
0% 0
AI
57 57%
43% 43
Image Annotation
100 100%
0% 0
Product Lifecycle Management (PLM)

User comments

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Reviews

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

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

Prodigy Reviews

We have no reviews of Prodigy yet.
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Social recommendations and mentions

Based on our record, Prodigy seems to be a lot more popular than V7. While we know about 25 links to Prodigy, we've tracked only 1 mention of 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

Prodigy mentions (25)

  • Launch HN: Encord (YC W21) – Unit testing for computer vision models
    This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 5 months ago
  • Against LLM Maximalism
    Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 9 months ago
  • Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era
    Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 10 months ago
  • [D] A model to extract relevant information from a Sample Ballot.
    I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 1 year ago
  • Sampling leaves from a tree
    I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago
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What are some alternatives?

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

Labelbox - Build computer vision products for the real world

Omnify PLM - Omnify PLM is a business-ready product lifecycle management solution.

CloudFactory - Human-powered Data Processing for AI and Automation

Propel - Propel is a customer-centric PLM software built on Salesforce App Cloud platform.

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

Enovia - ENOVIA offers product lifecycle management (PLM) solutions fostering innovation and operational excellence across industries.