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Clarifai Blog

Read about our announcements, events, engineering advancements, product tutorials, and Featured Hacks.

Announcements

Introducing the Captains Program!

Humans have had to be satisfied with unassisted vision until relatively recently, as the need for adequate natural-light, their line of sight, the size of and their distance from objects, and their visual acuity all acting as constraints. Below, we can identify some key innovations that helped overcome these challenges and highlight the significant impact …

AI

From the Human Eye to AI: A Brief History of Vision

Humans have had to be satisfied with unassisted vision until relatively recently, as the need for adequate natural-light, their line of sight, the size of and their distance from objects, and their visual acuity all acting as constraints. Below, we can identify some key innovations that helped overcome these challenges and highlight the significant impact …

Inside Clarifai HQ

Behind Our New Visual Identity

Clarifai People

A minute with… Ulas Bardak, Vice President of Engineering

Announcements

Welcome to the new Clarifai!

Introducing Model Evaluation – Test and improve the accuracy of Custom Training Models

Train a Custom Visual Recognition Model using Clarifai’s Python client

#ClarifaiMyHoliday – Win a pair of Snapchat Spectacles by showing us how you see the holidays

CEOpinions: why we build products that put the power of AI into everyone’s hands

Inside NYC’s first AI hackathon, hosted by Clarifai X General Assembly

Compete for glory and prizes at the Clarifai AI hackathon

What food is this? Food recognition technology can tell you!

company newsproduct announcements

See sharper with Clarifai’s new C# client

We’re excited to announce the immediate availability of our new official Clarifai C# client. This has been our most requested library and we’re stoked to release it!

Built with ClarifaiClarifai Featured Hacks

Clarifai Featured Hack: Use AI to Tune-Up Your Online Dating Profile

If it feels like you’re putting in a lot of swiping to get one good date, it might be because of your profile picture. Tune-up is an app that analyzes your picture and gives feedback so that you’ll have a greater chance of being paired with someone that you’ll actually like.

Announcements

Goodbye Forevery. Hello future.

Inside Clarifai HQ

#12DaysOfHacks – WIN OODLES OF SWAG AND A CHANCE TO WIN A FORCE1 DRONE

The holiday season is already upon us and to celebrate, we wanted to give back to our community by giving you a chance to win swag and a Force1 Drone.

Tutorials

Clarifai-powered Adobe Lightroom plugin automatically sorts your photos by image quality

With our recently released Landscape Quality and Portrait Quality models, we built an Adobe Lightroom plugin for photographers to use to automatically sort high quality photos from low quality ones. This helps make the post-processing workflow more efficient by filtering out blurry, over-exposed, and otherwise low quality images!

Tutorials

Build a command line app that sorts your photos by quality

With our new Landscape Quality and Portrait Quality models, photographers can now quickly identify which images are of high quality and prioritize working on them while leaving the rest for later. In this post, we’ll walk through building a command line application that will sort all of your photos by quality using these models.

company newsproduct announcements

Introducing Landscape Quality, Portrait Quality, and Textures & Patterns Visual Recognition Models

Being in the business of computer vision, we deal a lot with photos – good and bad. But what makes a photo “good” vs. “bad” – the composition? The lighting? The way it makes you feel? We decided to try and distill those elements into an algorithm to help photographers and media managers sort through large volumes of content to find the highest quality images and video.  

engineering

How Clarifai builds accurate and unbiased AI technology

At Clarifai, we have a team called the Data Strategy Team, a group of conscientious, diverse people who train our visual recognition models. They ensure we’re building accurate, unbiased AI – learn about what they do and how you can apply their best practices to your own model building!