Data Annotation
High-Quality Training Data for AI/ML Model Development
Delivering precision training, validation, and ground-truth data for dynamic images, video, and sensor data. Fusing AI-enabled platforms and subject matter experts, we accelerate your process without sacrificing quality so your team can focus on innovation.
Tags can be used to describe visible features and to classify whole images, particular areas, items, and specific attributes. Classification tags help organize and define categories that train image and video classifiers. They are the foundation for machine learning models and can be paired with other types of annotation. Ideal for: search, recommendation engines, and discovery platforms.
A bounding box is a rectangle drawn around the extremities of an object of interest to define its X and Y coordinates. Ideal for object identification, classification, and localization, damage assessment for auto insurance, product identification for retail and product anomaly detection for manufacturing.
Polygons allow annotators to create pixel-perfect silhouettes of amorphous entities. This accuracy is crucial for Object Detection, Semantic Segmentation, Instance Segmentation, Volumetric Segmentation, and composite objects. Ideal for: search, recommendation engines, and discovery platforms.
Lines are a series of points that can be used to define slope, direction, or edge. They define non-visible attributes of objects like mid-points and trajectories. Splines are a series of continuous irregular curves that allow the annotator to create a curve that is as close to a perfect fit of the data points as possible. Lines and splines are used to train regressor networks and keypoint detectors. Ideal for defining lane markings and interpolation.
Facial recognition relies on distinguishing subtle key attributes of a person’s face at a range of angles and in diverse lighting. Several tools including bounding boxes, persistent ID tracking across frames, and facial keypoints can be used in tandem to facilitate facial recognition. Ideal for security and identity confirmation, driver safety, organizing photography and video, emotional intelligence, and social media.
By fusing 3D LiDAR sensor data with 2D images and videos, annotators are able to create cuboid annotations to track 3 dimensional objects across space and time. Ideal for autonomous vehicles, manufacturing, and agriculture.
A point that defines an object or demarcates part of an object. A series of keypoints is called a point map, which is used to show the pose of an object. Ideal for keypoint detection & mapping, showing movement, and 6Dof object pose, sports analysis and medicine, virtual and augmented reality, robotic manipulation and visual navigation.
The Innodata Process
Our team is comprised of data experts, with years of developing strategies that enables companies to manage and distribute data using AI-based solutions. Book a time that works for you and let us help develop a custom solution for your unique needs.
Whether you need pixel-perfect polygons to augment radiology diagnostics or bounding boxes to optimize image search, our best-in-class annotation solution delivers ground truth data for any situation.
Preparing matching image sets · Identifying unique attributes · Matching accessories · etc.
Any object and data of interest such as: Vehicles · Homes · Buildings · Roofs · Shipments · Containers · Packages
Environment Mapping & Learning · Obstacle Detection · Product Anomaly Identification · Preventive Maintenance
Stock Image Keywords · Categories for search and recommendation engines
3D Point Clouds with image & short range/long-focused LiDAR data · Trajectory Planning · Labeling for Pedestrians · Intersections · Traffic Lights · Bikes · Objects
Satellites · Drones · Topography and others
Container data from yards · Identification of assets movement in lots
Autonomous Checkout · Shelf Inventory Levels · Grabbing of Product to Basket · Aisle Analysis · Product Matching
Plastic Waste Identification · Environmental Analysis · Organics & Food Waste Assessment
Crop & Soil Demarcation · Precision Pesticide Application · Crop Anomaly Detection
Behavior Analysis · Mood Assessment · Product Selection Guidance · Concierge Greetings
Damage Assessment · Car Parts Identification · Claims Images
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High-Quality Training Data to Scale AI/ML Model Development
