Software Alternatives, Accelerators & Startups

Scale Nucleus VS V7

Compare Scale Nucleus VS V7 and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

V7 logo V7

Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • V7 Landing page
    Landing page //
    2023-08-06

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

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

Category Popularity

0-100% (relative to Scale Nucleus and V7)
Developer Tools
100 100%
0% 0
Data Labeling
0 0%
100% 100
AI
45 45%
55% 55
Image Annotation
0 0%
100% 100

User comments

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Reviews

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

Scale Nucleus Reviews

We have no reviews of Scale Nucleus 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

Based on our record, Scale Nucleus should be more popular than V7. It has been mentiond 2 times 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.

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years 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 Scale Nucleus and V7, you can also consider the following products

PerceptiLabs - A tool to build your machine learning model at warp speed.

Labelbox - Build computer vision products for the real world

Aquarium - Improve ML models by improving datasets they’re trained on

CloudFactory - Human-powered Data Processing for AI and Automation

ML Image Classifier - Quickly train custom machine learning models in your browser

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