The Picsellia Blog

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Read our MLOps experts' technical notes, insights and tutorials to stay updated on the latest AI trends!

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How To Optimize Computer Vision Models For Edge Devices

Learn the best optimization techniques to decrease model size and increase inference speed in computer vision.

Konstantinos Poulinakis

June 30, 2022

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What’s New

Product Updates

Picsellia at Big Data & AI Paris 2024

Read about Picsellia's experience at Big Data & AI Paris, 2024.

Sreeja Ghosh Dastidar

November 13, 2024

News

SAM and Foundation Models in Computer Vision

We explored how SAM was created to become such a powerful tool. A groundbreaking model not only for Meta, but for the entire computer vision scenario!

Thibaut Lucas

April 25, 2023

News

Is AutoML Replacing Data Scientists?

Machine Learning revolutionized computer vision and language processing and is now shapeshifting biology and engineering.

Konstantinos Poulinakis

January 19, 2023

News

5 Steps to Take To Start A Career in Computer Vision

Have you ever wondered how to break into the field of computer vision? Here are some cool tips on how to get started!

Thibaut Lucas

January 5, 2023

News

That’s a wrap!

Our CEO Thibaut reflects on the past year and shares with us what he's learned in terms of computer vision, entrepreneurship, and enlarging the avo family!

Thibaut Lucas

December 23, 2022

News

6 Computer Vision Trends in 2022

Explore the upcoming AI trends for 2022.

Konstantinos Poulinakis

September 28, 2022

News

Creating a CVOps Platform: Picsellia’s Latest Release is Out

Our new release incorporates the latest tools and features to manage your entire MLOps pipeline in one single place, making it the first CVOps platform.

Thibaut Lucas

February 21, 2022

News

How to Build an Image Anonymizer For GDPR Compliant Tasks With TF2

Our mission is to assist others to build better computer vision models, so we built an anonymizer to help you build GDPR-compliant human-related datasets.

Thibaut Lucas

August 31, 2020

News

The Fastest Way to Analyze Models for Object Detection

Learn how to choose, tune and train any deep learning architecture to train your object detection models, by using an MLOps solution for computer vision.

Thibaut Lucas

August 31, 2020

News

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