Product Hunt logo dark
  • Launches
    Coming soon
    Upcoming launches to watch
    Launch archive
    Most-loved launches by the community
    Launch Guide
    Checklists and pro tips for launching
  • Products
  • News
    Newsletter
    The best of Product Hunt, every day
    Stories
    Tech news, interviews, and tips from makers
    Changelog
    New Product Hunt features and releases
  • Forums
    Forums
    Ask questions, find support, and connect
    Streaks
    The most active community members
    Events
    Meet others online and in-person
  • Advertise
Subscribe
Sign in
Subscribe
Sign in
Cord

Cord

Automating data annotation for computer vision

3 followers

Automating data annotation for computer vision

3 followers

Visit website
Cord automates the creation of your training data through our novel micro-model approach. With Cord you can turn your labeling process into an automated assembly line and create training data for your computer vision applications at unparalleled speeds.
  • Overview
  • Launches1
  • Reviews
  • Alternatives
  • Team
  • Awards
  • More
Company Info
cord.tech
Cord Info
Launched in 2021View 1 launch
Forum
p/cord-3
  • Blog
  • •
  • Newsletter
  • •
  • Questions
  • •
  • Forums
  • •
  • Product Categories
  • •
  • Apps
  • •
  • About
  • •
  • FAQ
  • •
  • Terms
  • •
  • Privacy and Cookies
  • •
  • X.com
  • •
  • Facebook
  • •
  • Instagram
  • •
  • LinkedIn
  • •
  • YouTube
  • •
  • Advertise
© 2025 Product Hunt
SocialWellfoundX

Similar Products

SuperAnnotate Desktop
Super easy and fast ML annotations on your PC
Graphic design tools
Datature
No-code platform for building deep neural nets
5.0(6 reviews)
No-code platformsData analysis tools
Carrot
Carrot
GPT3 for computer vision
Lionbridge AI
Data for machine learning in 300+ languages 🌎🤓🤖
Gengo.ai
22,000 linguists annotate your machine learning data 👩🏽‍💻🌏
View more
Appwrite
Appwrite — The open-source Vercel alternative
The open-source Vercel alternative
Promoted

Do you use Cord?

Pros
Cons
Reviews
Helpful

You might also like

SuperAnnotate Desktop
Super easy and fast ML annotations on your PC
Datature
No-code platform for building deep neural nets
Carrot
Carrot
GPT3 for computer vision
Lionbridge AI
Data for machine learning in 300+ languages 🌎🤓🤖
Gengo.ai
22,000 linguists annotate your machine learning data 👩🏽‍💻🌏
Python Package Index
Python Package Index
A repository of software for the Python programming language
View more
Review Cord?Be the first to review Cord
Cord gallery image
Cord gallery image
Cord gallery image
Free Options
Launch tags:
API•Developer Tools•Artificial Intelligence
Launch Team
Kat ManalacUlrik HansenEric Landau

What do you think? …

Eric Landau
Eric Landau

Encord Active

Maker
Hey Product Hunt! We're the creators of Cord 👋 You probably have a bunch of stuff to do today, so we will be super brief. 🙋Problem The biggest bottleneck in computer vision AI right now is not the compute power, the number of parameters in the models, or the number of intelligent data scientists, it’s the ability to create usable labeled training datasets to feed the models. This is the blocking element holding us back from building applications to solve some of the hardest problems we are facing today. 💡 Solution That’s why we built Cord, a platform that can automate the data annotation process for computer vision use cases. We use a toolbox we call “micro models” to break up the annotation process into smaller parts and let AI do most of the work. Our platform has helped build datasets for computer vision applications that include the diagnosis of cancer, detection of people in danger in construction sites, and management of small business inventories. 🔥How does it work? 1. Define your label structure or “ontology.” This is the set of “questions you are asking the data”. Cord allows you to create arbitrarily complex label structures and dynamically adapt them throughout the course of your projects. 2. Do a handful of manual annotations. Sometimes even just 4 hand labels are enough to start “teaching” the system what you want to annotate. 3. Build a micro model. It takes less than 5 minutes to get your first model trained and running. 4. Run the model, review the predictions, and retrain. You are now in an active learning loop! 5. Repeat as necessary. Build as many micro models as you need to cover your labeling. 6. Once the labels are set, use Cord’s SDK to create a data pipeline. You now have a working dataset ready for your model! The platform’s visualization features will also help you detect biases and imbalances in your dataset through the process. To get started come talk to us! We are offering a special deal where we are giving out 5 hours of free human annotation to the first 5 people that sign up with us through Product Hunt. Book a demo on our website quoting ‘PRODUCT HUNT’ to qualify. We look forward to hearing your feedback and comments! 🚀
Report
4yr ago
Oskar Barner Bernhardtsen
Oskar Barner Bernhardtsen
Looks really cool Eric and Ulrik. Huge devellopment since I saw the first demo 🚀🚀
Report
4yr ago
Dmitry Shklovsky
Dmitry Shklovsky
@eric_landau awesome, congrats on the launch!
Report
4yr ago
Iliya Valchanov
Iliya Valchanov

3veta

@eric_landau This has been an issue for ages, even for educational purposes. You can't really learn how to do ML, because there are literally 5 datasets.
Report
4yr ago
Eric Landau
Eric Landau

Encord Active

Maker
Thank you @iliya_valchanov, glad you agree! 3veta also seems super cool, let me know if you are doing any computer vision!
Report
4yr ago
thomasmarge
thomasmarge
inBalance

inBalance

@eric_landau Congrats!
Report
4yr ago
Joseph Mela
Joseph Mela
I like Cord.
Report
4yr ago
Eric Landau
Eric Landau

Encord Active

Maker
Me too
Report
4yr ago
Kevin Simons
Kevin Simons
Kitemaker

Kitemaker

Seriously great stuff! Would've loved this in my previous gig where I was managing a team of computer visions experts who were always starving for properly annotated data sets.
Report
4yr ago
Ulrik Hansen
Ulrik Hansen

Encord Active

Maker
@ksimons thanks, appreciate the support!
Report
4yr ago