Software Alternatives, Accelerators & Startups

Scale Nucleus VS Fandom

Compare Scale Nucleus VS Fandom and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Fandom logo Fandom

The entertainment site where fans come first.
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Fandom Landing page
    Landing page //
    2023-08-05

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

Fandom videos

WATERPARKS - FANDOM | ALBUM REVIEW

More videos:

  • Review - Review of The Fandom Menace
  • Review - DIRECTIONERS.. 👏 FANDOM REVIEW!👏

Category Popularity

0-100% (relative to Scale Nucleus and Fandom)
Developer Tools
100 100%
0% 0
Content Collaboration
0 0%
100% 100
AI
100 100%
0% 0
Wikis And Discussion Spaces

User comments

Share your experience with using Scale Nucleus and Fandom. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Fandom seems to be a lot more popular than Scale Nucleus. While we know about 73 links to Fandom, we've tracked only 2 mentions of Scale Nucleus. 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

Fandom mentions (73)

  • Fallen Angel's?
    Fandom.com is a garbage site anyway, just disregard whatever you find on those """"wiki"""" pages lol. Source: 7 months ago
  • Wikipedia, I used to get annoyed for it asking for money but is this because then it’s not spamming us with tons of adverts?
    Yeah, someone would buy it... And fill it up with obnoxious ads making it totally unusable. Try visiting fandom.com with adblock off to see what an advertising-infused Wikipedia would be like. Source: 7 months ago
  • How to prevent a specific website from showing up on the search results page?
    I want to block a website (specifically fandom.com) from always appearing at the top of search results page. Source: 7 months ago
  • I'm tying tor make SiIva on Character.AI, and I kinda of need help.
    I know that AI may be oversatured by now, but I want to make SiIva and I want some help, like sending a list of his lines (I put some that I found on the fandom.com wiki). I know that it's not perfect, but at least it's better than the top bot and other 2 that I tested, here's a link to the bot: https://c.ai/c/DcmSH8ogb43l5h-rvj5dM6_591C8SyqWXibxrqEiedk. Source: 9 months ago
  • Why do i have this error ?
    Bard tell me when accessing fandom.com he ah a 404 error so why ? Source: 10 months ago
View more

What are some alternatives?

When comparing Scale Nucleus and Fandom, you can also consider the following products

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

Miraheze - Miraheze is a wiki farm (hosts wikis) for free and with no ads, it also provides custom domains...

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

Wikipedia - Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.

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

Wikiful - Wikiful is an online platform that makes it easy to build and share a wiki.