The Picsellia Blog

Data Management

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

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The Concept of Synthetic Data for Curating Optimized Manufacturing Datasets

Learn how optimized datasets improve AI models and production efficiency in today’s data-driven world.

Haziqa Sajid

October 7, 2024

Computer Vision

Top Computer Vision Datasets for Manufacturing

Access extensive and reliable manufacturing datasets to power your AI and machine learning projects.

Tochukwu Nwoke

January 3, 2024

Manufacturing

Computer Vision Dataset Slicing

Discover dataset slicing, a technique used to divide large datasets into smaller parts to train and test models and improve model accuracy.

Thibaut Lucas

December 13, 2023

Data Management

Best object detection datasets in 2024

Looking to train your object detection models? Discover a wide variety of high-quality object detection datasets to fuel your AI projects.

Tochukwu Nwoke

December 11, 2023

Data Management

Data-Centric AI: A Guide to Improving ML Performance Through Data

Learn how the benefits of Data-Centric AI, a new paradigm focusing on improving data quality applies to computer vision.

Konstantinos Poulinakis

March 22, 2023

Data Management

Onboarding New Collaborators Easily

High turnover rates are real. There are many reasons behind people’s growing tendency to change teams, such as career changes, internal move, gap year.

Thibaut Lucas

March 2, 2023

Onboarding

How to Deal with Imbalanced Datasets in Computer Vision

Imbalanced datasets lead to problems with accuracy, overfitting, and bias. Data augmentation, class weighting and hierarchical classification can help.

Thibaut Lucas

December 15, 2022

Data Management

How To Ensure Data Quality – Best Practices

Data curation is the management of data in an organization such that it is readily available in the present and preserved for future use

Haziqa Sajid

September 19, 2022

Data Management

How to Reduce Training Data with Self-Supervised Learning

Self-Supervised Learning (SSL) aims to leverage large unlabeled datasets to train capable feature extractors such as CNN or ViT encoders. But what is SSL?

Konstantinos Poulinakis

July 26, 2022

Data Management

What Is Image Data Augmentation?

To solve the problem of data scarcity, we use data augmentation techniques. But how do you augment image data? We'll go throw this in a simple way.

Haziqa Sajid

July 19, 2022

Data Management

Data Versioning & Feedback Loop Best Practices

Data versioning is an effective methodology used when running many experiments that entail different data processing techniques. Find our best practices!

Konstantinos Poulinakis

May 30, 2022

Data Management

How We Built A Dataset Visual Similarity Search Feature

Learn how we built a dataset visual similarity search feature with embeddings and Qdrant.

Thibaut Lucas

May 18, 2022

Product

Data Management in AI: Key Success Factor

Learn about key success factors for data management in AI.

Thibaut Lucas

April 19, 2022

Data Management

How to Ensure Image Dataset Quality In Image Classification

Learn how to tackle the dataset quality main issues, and how to optimize the overall quality of your AI models for image classification use-cases.

Thibaut Lucas

January 5, 2022

Data Management

4 Things to Consider To Choose a Data Management Platform

Working with large datasets can be challenging. If you don't know what elements to consider when picking a data AI platform, then this article is for you.

Thibaut Lucas

December 9, 2021

Data Management

Data-Centric AI vs. Model-Centric AI? Which one will win?

Today, we've gone from model-centric to data-centric AI. We will walk you through the history of data-centric AI and where it's going in the next years!

Thibaut Lucas

October 4, 2021

Data Management

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

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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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