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Diffgram VS SuperAnnotate

Compare Diffgram VS SuperAnnotate and see what are their differences

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Diffgram logo Diffgram

Data Annotation Platform

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.
  • Diffgram Landing page
    Landing page //
    2021-04-22

Diffgram is open source annotation and training data software.

  1. Flexible deploy and many integrations - run Diffgram anywhere in the way you want.
  2. Scale every aspect - from volume of data, to number of supervisors, to ML speed up approaches.
  3. Fully featured - 'batteries included'.
  • SuperAnnotate Landing page
    Landing page //
    2023-10-10

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

Diffgram features and specs

No features have been listed yet.

SuperAnnotate features and specs

  • Activity dashboard: yes
  • Configurable workflow: yes
  • Data import/export: yes
  • Performance metrics: yes
  • Real time analytics: yes
  • Third-party integrations: yes
  • Collaboration tools: yes
  • Data visualization: yes
  • Drag and drop: yes
  • Multiple data sources : yes
  • Reporting/analytics: yes
  • Task management: yes
  • Visual analytics: yes
  • Monitoring: yes
  • Real-time monitoring: yes
  • Secure data storage: yes
  • Trend analysis: yes
  • Visual discovery: yes

Diffgram videos

+ Add

Easily Import & Export from {AWS, GCP} without API integration

More videos:

  • Demo - Deep Learning Images & Videos with Diffgram

SuperAnnotate videos

No SuperAnnotate videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Diffgram and SuperAnnotate)

Diffgram

SuperAnnotate

Data Science And Machine Learning
45 45%
Data Science And Machine Learning
55% 55
Data Labeling
29 29%
Data Labeling
71% 71
AI
60 60%
AI
40% 40
Image Annotation
0 0%
Image Annotation
100% 100

User comments

Share your experience with using Diffgram and SuperAnnotate. 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 Diffgram and SuperAnnotate

Diffgram Reviews

  1. Fast and did everything we needed

    Overall really really happy with the tool and the team. Excited that it's now open source our team is already building an integration

    🏁 Competitors: Labelbox
    👍 Pros:    Fast|Powerful|Flexible
  2. Best data handling - fast response times

    Amazing import options and data sync. Really happy with speed and responsiveness of team.

    🏁 Competitors: Labelbox
    👍 Pros:    Data|Interface|Speed|Support response time

SuperAnnotate Reviews

Top Video Annotation Tools Compared 2022
In this blog, we’ll quickly explore annotation platforms and the features they offer to help improve the video annotation process. We’ll be looking closely at six big names in the video annotation market: Innotescus, Dataloop, Scale, V7, SuperAnnotate, and Labelbox.
Source: innotescus.io

Social recommendations and mentions

Based on our record, SuperAnnotate seems to be more popular. It has been mentiond 1 time 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.

Diffgram mentions (0)

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

SuperAnnotate mentions (1)

  • data-labeling tools comparison
    Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: almost 3 years ago

What are some alternatives?

When comparing Diffgram and SuperAnnotate, you can also consider the following products

Labelbox - Build computer vision products for the real world

Hive - Seamless project management and collaboration for your team.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

CloudFactory - Human-powered Data Processing for AI and Automation

Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

Dataloop AI - Enterprise grade data platform for AI systems in development and in production.

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