Software Alternatives & Reviews

Encord VS V7

Compare Encord VS V7 and see what are their differences

Encord logo Encord

Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate videos and images, find & fix errors in your training data, and train & diagnose models to deliver value from your AI initiatives faster.

V7 logo V7

Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
  • Encord Landing page
    Landing page //
    2023-09-01
  • V7 Landing page
    Landing page //
    2023-08-06

Encord videos

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

+ Add video

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 Encord and V7)
Data Labeling
7 7%
93% 93
Computer Vision
100 100%
0% 0
Image Annotation
0 0%
100% 100
Video Annotation
100 100%
0% 0

User comments

Share your experience with using Encord and V7. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Encord Reviews

We have no reviews of Encord yet.
Be the first one to post

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

V7 might be a bit more popular than Encord. We know about 1 link to it since March 2021 and only 1 link to Encord. 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.

Encord mentions (1)

  • We employed ChatGPT as an ML Engineer for a day. This is what we learned.
    TLDR; Among the proliferation of recent use cases using the AI application ChatGPT, we ask whether it can be used to make improvements in other AI systems. We test it on a practical problem in a modality of AI in which it was not trained, computer vision, and report the results. The average over ChatGPT suggestions, achieves on average 10.1% improvement in precision and 34.4% improvement in recall over our random... Source: about 1 year 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 Encord and V7, you can also consider the following products

Labelbox - Build computer vision products for the real world

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

CloudFactory - Human-powered Data Processing for AI and Automation

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

ManageEngine Log360 - Comprehensive SIEM solution

Segments.ai - Multi-sensor labeling platform for robotics and autonomous driving