Software Alternatives, Accelerators & Startups

Good Annotations VS Scale Nucleus

Compare Good Annotations VS Scale Nucleus and see what are their differences

Good Annotations logo Good Annotations

A online annotation tool that is perfect for providing feedback to your team.

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • Good Annotations Landing page
    Landing page //
    2023-08-20
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

Good Annotations videos

An Online Digital Whiteboard by Good Annotations

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

Category Popularity

0-100% (relative to Good Annotations and Scale Nucleus)
Productivity
100 100%
0% 0
Developer Tools
0 0%
100% 100
SaaS
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Good Annotations and Scale Nucleus. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Scale Nucleus seems to be more popular. 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.

Good Annotations mentions (0)

We have not tracked any mentions of Good Annotations yet. Tracking of Good Annotations recommendations started around Mar 2021.

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

What are some alternatives?

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

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

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

The Desk for StarUP - Design for Smart Working

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

Weava - Workspace to highlight, organize & collaborate on your research articles.

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