Computer Vision

Mastering Data Annotation for AI Projects in 2025

This article will discuss the importance of data annotation in AI and the best practices and strategies for overcoming labeling hurdles.

November 29, 2024

2025 Trends in Computer Vision: What to Expect

Learn about the upcoming Computer Vision trends in 2025.

November 18, 2024

AI for Livestock Monitoring: Enhancing Animal Welfare and Farm Productivity

Learn how AI helps manage animal well-being and farm productivity. Get to know about benefits of using AI in every day farming.

November 14, 2024

AI-Powered Video Analytics for Intelligent Surveillance in Smart Cities

Discover how AI video analytics transforms smart city surveillance, enhancing safety, real-time crime detection, traffic management, and data security.

November 7, 2024

Precision Agriculture: Using Computer Vision for Crop Health Monitoring

Explore how computer vision in precision agriculture boosts crop health by detecting issues early, optimizing resources, and increasing yields efficiently.

October 31, 2024

Coolest Startups in the Agtech Space

Learn about companies that are optimising technology for agriculture.

October 22, 2024

Early Adopters of Computer Vision

Learn more about the companies that first adopted and used computer vision.

October 21, 2024

Hyperparameter Tuning in Computer Vision

In this article, you will learn about the importance of hyperparameters, where, when and how to tune them.

October 8, 2024

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.

October 7, 2024

SAHI Revisioned

Picsellia's new tiling model improves object detection by preserving resolution, especially for smaller objects, while offering flexible tiling modes.

September 27, 2024

Top Datasets for Computer Vision

Comprehensive guide to top datasets useful for computer vision.

September 24, 2024

A Breakdown of AI Costs for Your Organization

Breakdown of AI development costs in 2024, including infrastructure, labor, software, and tips to optimize expenses for successful implementation.

September 23, 2024

Learn Computer Vision: Beginner’s Guide

Discover top resources for learning computer vision, from OpenCV tutorials to advanced Coursera courses. Ideal for beginners!

September 23, 2024

Safer Pipelines, Smarter Energy: Using Computer Vision for Pipeline Inspections

Make pipeline inspection more rigorous with Computer Vision. Learn more about how Computer Vision can help prevent disasters at the energy site.

September 10, 2024

Leveraging Computer Vision for Smarter Production Lines

Discover how computer vision is transforming production lines to improve efficiency, reduce errors, and boost product quality in manufacturing industry.

August 30, 2024

EU's Green Revolution: How Technology is Changing Waste Management

Discover how companies in the EU are using Computer Vision technology to drive innovation in waste management for a more sustainable future.

August 28, 2024

An Introduction to Object Tracking in Computer Vision

Learn how object tracking builds on object detection by tracking objects over time. Explore key differences, challenges, and effective techniques.

July 24, 2024

Meet piSAM: The Newest Addition to Picsellia's Computer Vision Toolbox

Meet piSAM, the Picsellia Segment Anything Model. piSAM offers fast, accurate image segmentation with a single click. Enhance your vision AI projects.

July 8, 2024

VLMs vs. CNNs: Is a New Era Dawning in Computer Vision Performance?

Discover if Vision Language Models (VLMs) outperform Convolutional Neural Networks (CNNs) in computer vision.

June 27, 2024

Integrating Picsellia in Your Databricks/MLFlow Environment

Combine MLFlow's management with Picsellia's specialized tools for efficient, streamlined workflows.

June 6, 2024

Build High-Performing Teams for Computer Vision Projects

Looking to build high-performing teams? Explore the key data team roles required to excel in the field of computer vision.

April 16, 2024

Introducing Picsellia v3.0

Discover the latest release, Picsellia Platform v3.0, tailored to revolutionize the computer vision landscape. From enhanced annotation tools for video lab

February 27, 2024

Product

A guide to Tag Image File Format (TIFF): Leveraging High-Pixel Quality for Computer Vision Applications

TIFF files are a raster image file format commonly used for storing high-quality images. Discover how they work here.

February 19, 2024

Leveraging Energy Datasets: Transforming Infrastructure with Computer Vision

Explore how energy datasets drive efficiency and safety through computer vision solutions in the infrastructure sector.

February 13, 2024

What is video annotation for computer vision?

Looking for video annotation and computer vision services? Enhance your AI algorithm models with accurate and comprehensive data.

January 23, 2024

Top Computer Vision Datasets for Manufacturing

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

January 3, 2024

Manufacturing

Going beyond the Basics of Anomaly Detection in Computer Vision

Find out how anomalies in visual data can be detected using computer vision tools.

December 14, 2023

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.

December 13, 2023

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.

December 11, 2023

Anomaly Detection in Manufacturing Lines Using Computer Vision

Discover the challenges and benefits of visual anomaly detection systems in manufacturing.

December 5, 2023

Manufacturing

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.

November 22, 2023

What is OCR? Optical Character Recognition Software Explained

In-depth dive into OCR, from its definition and history to its underlying technologies and the most common (and valuable) applications.

November 1, 2023

How to Integrate Picsellia into a Hugging Face Training Workflow

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

October 25, 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

Data Science

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

Data Science

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

Data Science

The Confluence of Computer Vision and Drone Technology

Unlike their early counterparts, today's drones are not just equipped to capture high-resolution images and videos, AI opened up a whole new field.

July 5, 2023

[Industrie 4.0] Revolutionizing Manufacturing with Computer Vision

The integration of computer vision technology in modern manufacturing has opened up a world of possibilities for companies looking to streamline their work

July 3, 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

Exploring Stable Diffusion: Revolutionizing Image-to-Image Generation in Computer Vision

Stable diffusion is a type of generative model, which uses the power of AI and deep learning to generate images. Let’s take a closer look at it.

Auriane Bonnot

June 16, 2023

Image Embeddings explained

In a nutshell, embedding is a dimensionality reduction technique. It is a lower dimensional vector representation of high dimensional feature vectors (i.e.

May 30, 2023

Segmentation vs Detection vs Classification in Computer Vision: A Comparative Analysis

Explore the nuances of Segmentation, Detection, and Classification in Computer Vision. A detailed comparative analysis for a comprehensive understanding.

May 29, 2023

Best Practices for Fine-Tuning Computer Vision Models

This article will introduce you to the best practices for hyperparameter tuning, explored through a typical CV task with TensorFlow and Keras-Tuner.

February 23, 2023

End-to-End Repeatable MLOps for Computer Vision

Any enterprise ML pipeline should automate various steps in the ML lifecycle. Such automation is usually achieved by compartmentalising each step as a stan

February 16, 2023

5 Ways Computer Vision Simplifies PCB Design and Workflows

Computer vision operations can be used to automate many of the tasks involved in working with PCBs, making the process faster and more accurate.

January 12, 2023

A dive into YOLO object detection

We will explore the family of YOLO object detection models, from the original YOLO network up to the latest YOLOv8 and NAS networks.

November 30, 2022

YOLO

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

September 19, 2022

Are Transformers replacing CNNs in Object Detection?

In the past decade, CNNs sparked a new revolution in computer vision. In 2020, ViTs gained a lot of attention. Are transformers replacing CNNs?

August 22, 2022

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?

July 26, 2022

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.

July 19, 2022

Why Do Classical MLOps Tools Not Fit Computer Vision?

Computer vision pipelines require a set of processes that are exclusive to Computer Vision. This is where CVOps comes to play.

July 1, 2022

MLOps

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.

June 30, 2022

Edge AI

What is MLOps? And Why is it Important? Part 1

MLOps, short for Machine Learning Operations, is a discipline that aims to unify ML system's development and deployment to optimize high-performing models.

October 12, 2021

MLOps

Ensuring the Success of an ML Computer Vision Project

There 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?

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.

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.

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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.

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.

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.

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.

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.