Image annotation
Transform your visual data into strategic assets for your AI models. Our image annotation services blend technical expertise with rigorous processes to deliver precise datasets tailored to your objectives.
🔍 Custom annotation
Pixel-perfect annotations for all your use cases: classification, object detection, semantic or instance segmentation. We structure your image datasets to align with your AI objectives.
👁️ Visual expertise
Our annotators master the nuances of visual data across diverse domains such as retail, healthcare, agriculture, and security.
🧠 Quality for Machine Learning
From defining classes to quality assurance, we support every step to create robust, model-ready datasets for your models.
Annotation techniques
Bounding Boxes
Drawing rectangles around objects of interest in an image to indicate their presence, position and size. This is one of the most widely used methods for training Computer Vision models, notably for object detection, tracking and image recognition in a variety of contexts (fashion, healthcare, transport, etc.).
Define object classes to be annotated (e.g. car, pedestrian, panel, cell...)
Load images into a suitable annotation tool (Label Studio, CVAT, V7, etc.).
Draw a bounding box (rectangle) around each targeted object
Export data in a structured training data format (COCO, Pascal VOC, YOLO, ...)
Autonomous vehicles – Annotating road objects (cars, traffic lights, pedestrians) for on-board detection
Medical imaging – Framing visible anomalies in X-rays or scans
Retail – Detect and classify items on shelves for in-store analysis
Polygons
Draw precise contours around an object by manually connecting several points. Unlike Bounding Boxes, this method faithfully follows irregular or complex shapes. It is indispensable in projects where precise detection of contours or surfaces is crucial: object segmentation, cartography, anomaly detection or biomedical analysis.
Define the classes or types of objects to be segmented (anatomical structures, products, areas of interest, etc.).
Load images into an annotation tool that supports polygons (CVAT, V7, LabelBox...)
Manually outline each object with a series of connected points
Export annotations in compatible formats (COCO segmentation, JSON, XML, etc.)
Agriculture – Plot plots, leaves or fruit on field or drone images
Biology – Segment cells or tissues in microscopic images
Fashion & e-commerce – Accurately annotate garments or accessories in product photos
Keypoints
Place precise points on specific parts of an object, such as joints, anatomical landmarks or structural elements. This method is used to train models capable of recognizing postures, detecting movements or measuring distances between landmarks, in fields such as biomechanics, fashion or machine vision.
Define sets of points to be annotated (e.g. 17 points for a human skeleton, 5 facial markers, etc.).
Manually place each point on the corresponding part of the object
Connect points if necessary (skeleton, geometry)
Export annotated data in the appropriate format (COCO Keypoints, CSV, JSON...)
Posture analysis – Identifying joints for motion tracking models
BIometry – Annotate facial or body points for identity recognition or validation
Robotics – Detect the exact position of mechanical components or joints
Lines and arrows
Represent directional links, flows or linear structures in images. It is used to train models capable of understanding spatial relationships, movements or logical connections, notably in the automotive or robotics fields.
Define the types of relationships to be represented (direction, connection, flow...)
Load images into a vector annotation-compatible tool (CVAT, VIA, Label Studio, ...)
Manually draw lines or arrows between the elements concerned
Export annotations in a suitable format (JSON, XML, GeoJSON, ...)
Cartography – Tracing roads, paths or rivers in satellite images
Robotics – Represent the predicted or observed trajectories of a robot
Medical imaging – Track blood vessels or nerves in anatomical sections
Polylines
Connect a series of points to form a broken line, used to represent elongated objects or sinuous structures in an image. For annotations where line accuracy is essential but the area doesn't need to be filled in, such as a branch, a road or blood vessels.
Load images into a tool that supports polylines (CVAT, Label Studio, VIA, ...)
Manually place points along the visual structure to be followed
Adjust points to ensure smooth, even and faithful lines
Export plots in the desired format (JSON, COCO polyline, SVG, ...)
BIomedicine – Tracing blood vessels and nerves in medical images
Fashion – Follow seams or borders in product visuals
Cartography – Representing road networks or paths in satellite images
Cuboids
Draw three-dimensional boxes around visible objects in 2D images or 3D scenes. This technique enables the depth, orientation and physical dimensions of an object to be estimated, and is used in 3D perception applications such as autonomous driving and robotics.
Identifier les objets nécessitant une annotation 3D (véhicules, piétons, meubles, …)
Place cuboid anchor points according to image perspective
Check that volumes are consistent with the stage (alignment on the floor, relative size)
Export in a format compatible with 3D engines (KITTI, JSON, XML, PCD, ...)
Autonomous vehicles – Annotate vehicles and pedestrians with their position and dimensions in space
Logistics – 3D parcel and pallet identification in the warehouse
Robotics – Locating obstacles in volume for intelligent navigation
Use cases
Our expertise spans a wide array of AI use cases, regardless of domain or data complexity. Here are a few examples:
Why choose Innovatiana?
Our value proposition
Highly specialized technical expertise in data annotation.
Industry-specific specialized teams.
Customized solutions tailored to your needs.
Rigorous, documented quality processes.
Cutting-edge annotation technologies
Measurable results
Enhance model accuracy through high-quality annotations and targeted fine-tuning on custom datasets
Reduced processing times
Optimization of annotation costs
Enhanced performance of AI systems
Demonstrable ROI on your projects
Client engagement
Dedicated support throughout the project
Transparent, regular communication
Continuous adaptation to your needs
Customized strategic support
Training and technical support
Compatible with yourstack
We leverage all leading data annotation platforms on the market to adapt to your needs and meet your most specific requirements!
Your data secured
We place special emphasis on data security and confidentiality. We assess the sensitivity of the data you entrust to us and deploy information security best practices to protect it.
No stack? No prob.
No matter your tools, constraints, or starting point, our mission is to deliver a high-quality dataset. We select, integrate, or customize the best annotation software solution to meet your challenges, with no technological bias.
Fuel your AI models with high-quality, expertly crafted training data!
