Data Science

DINOv2 - Steps by steps explanations - Picsellia

Discover DINOv2, an upgrade of DINO. Try using a self-supervised method applied to Vision Transformers. This method enables all-purpose visual features.

Tochukwu Nwoke

November 22, 2023

How to Integrate Picsellia into a Hugging Face Training Workflow

Effortlessly scale computer vision model training with Picsellia's CVOps platform and HuggingFace.

Tochukwu Nwoke

October 25, 2023

Activation Functions and Neural Networks

Explore the key roles of activation functions in neural networks for computer vision tasks. Learn about Sigmoid, ReLU, and more for better deep learning.

September 1, 2023

COCO Evaluation metrics explained

Dive into COCO Evaluation Metrics for computer vision, exploring precision, recall, IoU & their meaning. Master object detection with Picsellia.

August 16, 2023

Mask R-CNN - Everything explained

Explore Mask R-CNN: a groundbreaking tool in computer vision for object detection & instance segmentation. Dive deep into its architecture & applications.

August 14, 2023

The Confusion Matrix in Computer Vision

Evaluate computer vision models effectively with the power of the confusion matrix. Understand strengths, weaknesses, and make informed decisions.

July 26, 2023

Understanding Overfitting in Machine Learning

Learn to tackle overfitting in machine learning with effective strategies and Picsellia's MLops platform. Avoid model memorization.

July 26, 2023

An In-Depth Guide to Contrastive Learning in AI

Contrastive learning is a machine learning technique that teaches models to distinguish between similar and dissimilar samples.

June 26, 2023

Understanding the F1 Score in Machine Learning: The Harmonic Mean of Precision and Recall

In this article, we will delve into the concept of the F1 score, its relationship with precision and recall, andwhy it is advantageous to use the F1 score.

May 25, 2023

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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

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!

April 25, 2023

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

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!

January 5, 2023

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!

December 23, 2022

6 Computer Vision Trends in 2022

Explore the upcoming AI trends for 2022.

Konstantinos Poulinakis

September 28, 2022

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.

February 21, 2022

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.

August 31, 2020

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.

August 31, 2020