Image Annotation Services for Computer Vision
Build accurate computer vision models with precise, human-verified image annotations. Innovatiana delivers managed image annotation services for classification, object detection, semantic and instance segmentation, pose estimation and 3D perception.
🔍 Custom image annotation
From image classification to pixel-level segmentation, we design annotation guidelines and workflows around your model architecture, object classes, edge cases and required output format.
👁️ Domain-Trained Image Annotators
Our image annotators are trained on your visual taxonomy and domain requirements, with dedicated teams for sectors such as automotive, retail, agriculture, industrial inspection and healthcare.
🧠 Quality-Controlled Training Data
From class definition and calibration to multi-stage review, we manage every step required to deliver consistent, training-ready image datasets for machine learning and computer vision.
Image Annotation Techniques & Services
Bounding Box Annotation
Create tight rectangular labels around objects to identify their class, position and size. Bounding box annotation is widely used to prepare training data for object detection and localization models across autonomous driving, retail, manufacturing, security and healthcare.
Define object classes to be annotated (e.g. car, pedestrian, traffic sign, cell, ...)
Load images into a suitable annotation tool (Label Studio, CVAT, V7, etc.).
Draw a bounding box (rectangle) around each targeted object
Export annotations in the required training data format (COCO, Pascal VOC, YOLO, ...)
Autonomous driving — Annotate vehicles, pedestrians, cyclists, traffic lights and road signs for perception models.
Medical imaging — Localize visible abnormalities or anatomical regions in X-rays, scans and microscopy images.
Retail — Detect and classify products on shelves for inventory and planogram analysis.
Polygon Annotation
Trace precise contours around irregular objects when rectangular boxes include too much background. Polygon annotation supports high-precision localization and instance segmentation for crops, garments, components, buildings, cells and other complex shapes.
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 – Delineate fields, crops, leaves and fruit in aerial, field and drone imagery.
Biology – Segment cells or tissues in microscopic images
Fashion & e-commerce – Accurately annotate garments or accessories in product photos
Keypoint and Landmark Annotation
Place landmarks on faces, bodies, hands, products or mechanical components to train pose-estimation, movement-analysis and geometry-aware models. Skeletons and relationships between points can be included when required.
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
Biometrics - Annotate facial or body landmarks for identity verification and liveness-detection systems.
Robotics – Detect the exact position of mechanical components or joints
Line Annotation
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 and mobility - Labellane markings, routes and observed or predicted trajectories.
Medical imaging – Track blood vessels or nerves in anatomical sections
Polyline Annotation
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 annotations in the required 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
2D and 3D Cuboid Annotation
Annotate the position, orientation and approximate dimensions of objects using perspective-aware cuboids. Cuboid annotation supports autonomous driving, robotics, warehousing and spatial reasoning, with delivery in KITTI, JSON, XML or custom schemas.
Identify the objects that require 3D annotation, such as vehicles, pedestrians, furniture or warehouse assets.
Place cuboid anchor points according to image perspective
Check that each cuboid is consistent with the scene, including ground alignment, perspective, orientation and relative size.
Export annotations in a format compatible with the client’s 3D perception pipeline, such as KITTI, JSON, XML or a custom schema.
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 for Image Annotation?
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 your stack
We leverage leading image annotation platforms on the market, adapted to your workflow and requirements!
Secure Data
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.
Build Better Computer Vision Models with Expert Image Annotation!
