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3D Perception - Trends and Developments

Five developments are currently reshaping three-dimensional perception. None removes the annotation work,...

Automatic Pre-annotation in 3D - Gains and Limits

Assistance in 3D does not work as it does in image annotation. Some operations automate almost entirely,...

Building a 3D Dataset - Volume, Diversity and Quality

A three-dimensional corpus is not built by accumulating scenes. What determines its value is the number...

Density, Occlusion and Sparsity - The Difficulties of 3D Annotation

The preceding verticals share three difficulties their particular contexts inflect differently. This...

3D Annotation in Construction - Building Scans and BIM

Buildings invert the difficulty of the other 3D annotation verticals. The geometry is regular, the shapes...

3D Annotation in Forestry and Agricultural Environments

Forestry and agriculture pose 3D annotation a problem neither the road nor the warehouse poses. The objects...

Quality in 3D Annotation - Metrics and Control

The third dimension gives quality control something image annotation does not: physical quantities. A...

What Does 3D Annotation Cost

The cost of a 3D project follows neither from the number of scenes nor from the point volume. It depends...

3D Annotation Tools - Landscape and Selection Criteria

The gap between a good and a bad tool is measured in factors on a 3D project. Navigation, cuboid adjustment...

Sensor Fusion - Annotating LiDAR and Cameras Together

Combining a range sensor with a camera looks like adding two sources together. That combination in fact...

3D Annotation for Robotics and Logistics

Robotics and logistics differ from the other 3D annotation verticals in one particular requirement. The...

Point Cloud Segmentation - Classifying Point by Point

Point-wise segmentation is the most demanding formulation in 3D annotation. It assigns a class to every...

3D Cuboids - Annotating Objects for Autonomous Perception

The cuboid is the most used representation in 3D annotation and the most underestimated. Nine values...

3D Annotation - The Complete Guide

The third dimension changes the nature of annotation. An object no longer has an outline in an image,...

Geospatial Foundation Models

A model trained on millions of satellite images promises to reduce the annotation work. The promise is...

The Cost of Satellite Annotation

A per-tile rate looks simple and proves almost always misleading. Two tiles of the same size can demand...

Annotation in Defence Contexts - Confidentiality and Traceability

Some geospatial projects are not judged on quality alone. The annotation arrangement itself becomes the...

Geospatial Annotation Quality - Small Objects and Visual Fatigue

An annotator scanning an empty tile for twenty minutes produces nothing visible. That is nonetheless...

Preparing a Satellite Dataset - Resolution, Georeferencing, Tiling

An image archive is not a dataset. Between the two sits a series of technical decisions which, taken...

Airborne LiDAR and Geospatial Point Clouds

A point cloud is not an image. Nothing in it can be looked at without first choosing a viewpoint, a colouring...

Natural Disasters and Damage Assessmen

After an earthquake, every hour counts more than every detail. Damage assessment reverses annotation’s...

Infrastructure Mapping - Roads and Networks

A road is not an object, it is a continuity. It crosses the scene, disappears beneath the trees, reappears...

Multispectral and Infrared Imagery - What the Annotator Must See

A multispectral sensor records what the eye does not see. The annotator has only their eye, and the whole...

Agriculture from Above - Parcels, Crops and Indices

A farm parcel does not exist on the image, only in the registers. Its boundaries come from a tenancy...

Deforestation and Land Use - Monitoring with Satellite Imagery

A forest has no clean edge. It thins out progressively, mingles with other formations, closes again after...

Detecting Solar Panels on Aerial Imagery

A solar panel occupies a few pixels on ordinary aerial imagery. That smallness governs the whole project,...

Building Detection and Urban Footprints on Satellite Imagery

A building seen from above has no obvious outline. The roof shifts away from its base, adjoining constructions...

Semantic Segmentation of Satellite Imagery - Methods and Classes

Describing a whole scene rather than detecting objects within it changes the nature of the work. Every...

Satellite Imagery and Artificial Intelligence - Use Case Panorama

A satellite image is not read like a photograph. It covers kilometres, is measured in metres per pixel,...

LiDAR or Photogrammetry - Which Data for 3D Annotation

Two methods produce point clouds and they do not produce the same data. The choice between them precedes...

Earth Observation - The Trends

This series on Earth observation closes on a forward-looking question, and the exercise calls for one...

Why Earth Observation Projects Fail

The fourteen preceding articles in this series on Earth observation described a sector whose resource...

What Does Access to Earth Observation Data Cost

The question sounds simple and it is almost always answered wrongly, because the data itself is frequently...

Validating Earth Observation Products - The Quality Question

A reference publication in remote sensing states a fact most projects overlook: the mapped area of deforestation,...

French and European Earth Observation Startups

A study of the investment landscape states the shift concisely: the Earth observation sector is transitioning...

Near Real-Time Earth Observation

The American space agency sets the reference definition in Earth observation: near real-time refers to...

European Sovereignty and Earth Observation

The European Commission states in one sentence what the continent’s space programme has produced:...

AI and Earth Observation - The Annotated Data Bottleneck

A research paper published in 2025 states the field’s paradox in one sentence: remote sensing offers...

Copernicus - Europe's Earth Observation Programme

The official platform describes the programme in a sentence that sets out its scope: Copernicus is the...

Earth Observation and Insurance - Assessing Risk from Space

A sector analysis published in 2026 reports two figures that define the problem this domain seeks to...

Earth Observation, Security and Sovereignty

A report from the European sector’s annual conference, held in 2026, states a finding that sums...

Earth Observation and Climate - Measuring to Act

A figure published by the European Space Agency situates the satellite’s place in measuring the...

Constellations and NewSpace - The Democratisation of Earth Observation

One figure sums up the economic rupture that transformed the sector. An analysis drawing on the American...

The Earth Observation Market - Players and Dynamics

A sector analysis published in 2026 states the fact that structures the whole economy of the field: the...

Earth Observation - Panorama of a Rapidly Expanding Sector

One figure conveys the sector better than any market forecast. The European satellite data distribution...

Unsupervised Anomaly Detection vs Supervised Defect Detection

The question deserves asking directly, including by those whose business is annotation: is annotation...

Securing Production Images - Industrial Confidentiality and ISO 27001

Confidentiality is the first obstacle in a vision inspection project, and often the only one technique...

Cost and ROI of a Defect Detection Project

Searching for the return on investment of a vision inspection project produces a remarkable convergence...

False Positives, False Negatives - Defect Detection Model Metrics

An inspection system is not judged on its accuracy. It is judged on how it distributes its errors between...

Predictive Maintenance by Vision - Monitoring Infrastructure and Equipment

Predictive maintenance by vision differs from industrial inspection through an inversion of its relationship...

Image Annotation in the Age of Foundation Models - What Does the Future Hold ?

Foundation models are reshaping the artificial intelligence landscape faster than most practitioners...

Computer Vision in Logistics - Parcels, Pallets and Automated Sorting

Logistics is a natural extension of industrial defect detection, and yet it inverts several of its principles....

Instance Segmentation for Fine Defects - Pixel by Pixel

A thread-like defect breaks the usual metrics before it breaks the models. A crack two pixels wide and...

The 10 Most Common Image Annotation Mistakes

Machine learning teams spend weeks refining model architectures, testing new neural network topologies,...

Why Defect Detection Needs Trade-Trained Annotators

One figure sums up the problem industrial annotation poses. On a tool wear segmentation task, expert...

Building a Defect Detection Dataset from Production Images

The ratio between available images and annotated ones is the most revealing figure in an industrial project....

PCB and Electronic Component Inspection by Vision

Electronics occupies a singular position in industrial inspection: it is the only field where the reference...

Wood, Textile, Glass - Defect Detection by Material

Three materials, one apparently identical task, and three physically unrelated problems. On wood, the...

Defect Detection on Metal Surfaces - Steel, Welds and Machining

One model, one dataset, and performance varying twofold depending on the defect type. On the reference...

Building a Training Dataset : Volume, Diversity and Bias

A computer vision model is never better than the data used to build it. This principle, often stated...

Annotating Rare Defects - Managing Class Imbalance

One published case sums up the imbalance problem on its own. On a real, imbalanced dataset of ultrasonic...

[FR] Article 12 - Annotation d'images - n°12 - RGPD et annotation d'images - visages, plaques et données personnelles

GDPR and Image Annotation - Faces, License Plates, and Personal Data

Launching an image annotation project on video streams captured by dashcams, drones, surveillance systems,...

[FR] Article 11 - Annotation d'images - n°11 - Annotation vidéo - tracking, interpolation et cohérence temporelle

Video Annotation : Tracking, Interpolation and Temporal Consistency

When a computer vision model needs to analyze a video stream rather than a still image, the demands placed...

Automated Quality Control on a Production Line - A Practical Guide

A vision system that works in the lab and fails in production usually does not have an algorithm problem....

Defect Detection by Computer Vision - The Complete Guide

There is a disconcerting gap between published performance in defect detection and what the same methods...

From 2D to 3D : Annotating LiDAR Point Clouds

Image annotation has long been the backbone of computer vision projects. For years, data teams worked...

Image Annotation for Object Detection : A Step-by-Step Method

Object detection is one of the most widely deployed tasks in computer vision: identifying the presence,...

Writing Effective Image Annotation Guidelines

Building a reliable AI model begins long before the first training run. It starts with clean, consistent...

Image Annotation Tools in 2026 : CVAT, Label Studio and Alternatives

Choosing an image annotation tool is a decision that shapes your entire data pipeline for years to come....

Measuring Image Annotation Quality : IoU, Precision and Consensus Methods

The performance of a computer vision model depends on far more than its architecture or the sheer volume...

How Much Does an Image Annotation Project Cost

It is the first question asked in almost every request for proposal, and often the least well answered:...

The Complete Guide to Training a Computer Vision Model

No computer vision model sees anything on its own. Behind every system that spots a defect on a production...

Bounding Box, Polygon or Segmentation : Choosing the Right Type of Image Annotation

Rectangle, polygonal outline, or pixel-level mask: choosing the geometry is the first technical decision...

Image annotation [EN] - Article No. 6 - Image Annotation Manual vs

Image Annotation Manual vs. Automatic - Why Human Expertise Remains Indispensable

Over the past few years, pre-labeling tools and auto-annotation systems have fundamentally changed how...

Text annotation for LLMs : instruction tuning, RLHF and preferences

The large language models powering today’s conversational AI assistants, code generation tools...

Document Classification : Building a Corpus Through Text Annotation

Document classification is one of the most widely deployed natural language processing tasks in applied...

Text Annotation : The Complete Guide to NLP Tasks

Natural language processing models cannot build their own foundations. Every supervised NLP system, from...

Named Entity Recognition : A Text Annotation Methodology

Named Entity Recognition (NER) is one of the most structuring tasks in text annotation for natural language...

The Future of Data Annotation in Industry: Automation, Generative AI, and Beyond

Why Data Annotation Is Becoming a Strategic Priority for Industry The global industry is undergoing a...

AI in Agriculture: A Silent Revolution Transforming Agricultural Models for the Long Term

Artificial intelligence has emerged as one of the most powerful levers for advancing modern agriculture....

Computer Vision & Deep Learning: How Data, Annotation, and Segmentation Are Revolutionizing Modern AI

How Data, Annotation, and Segmentation Are Revolutionizing Modern AI

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