Data-Centric AI: A Guide to Improving ML Performance Through DataKonstantinos PoulinakisMarch 22, 2023Data Management
How to Deal with Imbalanced Datasets in Computer VisionImbalanced datasets lead to problems with accuracy, overfitting, and bias. Data augmentation, class weighting and hierarchical classification can help.December 15, 2022Data Management
How To Ensure Data Quality – Best PracticesData curation is the management of data in an organization such that it is readily available in the present and preserved for future useHaziqa SajidSeptember 19, 2022Data Management
How to Reduce Training Data with Self-Supervised LearningSelf-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 PoulinakisJuly 26, 2022Data 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 SajidJuly 19, 2022Data Management
Data Versioning & Feedback Loop Best PracticesData versioning is an effective methodology used when running many experiments that entail different data processing techniques. Find our best practices!Konstantinos PoulinakisMay 30, 2022Data Management
Data Management in AI: Key Success FactorResearch reveals that 50% if AI teams is spent in developing AI on training data, and 15% augmenting datasets to optimize processes around training data. April 19, 2022Data Management
How to Ensure Image Dataset Quality In Image ClassificationLearn how to tackle the dataset quality main issues, and how to optimize the overall quality of your AI models for image classification use-cases. January 5, 2022Data Management
4 Things to Consider To Choose a Data Management PlatformWorking 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.December 9, 2021Data Management
SAM and Foundation Models in Computer VisionWe 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, 2023News
Is AutoML Replacing Data Scientists?Machine Learning revolutionized computer vision and language processing and is now shapeshifting biology and engineering. Konstantinos PoulinakisJanuary 19, 2023News
5 Steps to Take To Start A Career in Computer VisionHave you ever wondered how to break into the field of computer vision? Here are some cool tips on how to get started!January 5, 2023News
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, 2022News
6 Computer Vision Trends in 2022AI has immensely contributed to computer vision’s advances over the past years. It’s the field where most AI research is being conducted. But what is goingKonstantinos PoulinakisSeptember 28, 2022News
Creating a CVOps Platform: Picsellia’s Latest Release is OutOur 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, 2022News
Ensuring the Success of an ML Computer Vision ProjectThere are many pros in having a computer classify and categorize images or objects. But how can you guarantee the success of your computer vision project?August 31, 2020News
How to Build an Image Anonymizer For GDPR Compliant Tasks With TF2Our 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, 2020News
The Fastest Way to Analyze Models for Object DetectionLearn 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, 2020News