Image Recognition

High-Quality Image, Video, and Sensor Data Annotation Powering AI/ML and Computer Vision

Annotated Image, Video, and Sensor Data Powering Enterprise Technologies

Fusing AI-enabled platforms and subject matter experts, we expedite your AI process without sacrificing quality so your team can focus on innovation.

Play Video about Video frame of a robotic arm working with computer vision on a supply chain belt

Image Recognition Expertise Across Diverse Industries

Whether you need pixel-perfect polygons to augment radiology diagnostics or bounding boxes to optimize image search, our best-in-class Image Recognition delivers ground truth data for any situation with taxonomy support in 35+ languages.

Image Categorization

Stock Image Keywords · Categories for Search and Recommendation Engines

Robotics

Environment Mapping and Learning · Obstacle Detection · Product Anomaly Identification · Preventive Maintenance

Consumer Products

Autonomous Checkout · Shelf Inventory Levels · Grabbing of Product to Basket · Aisle Analysis · Product Matching

Automotive Insurance

Damage Assessment · Car Parts Identification · Claims Images

Logistics

Container Data From Yards · Identification of Assets Movement in Lots

Aerial Photography

Satellites · Drones · Topography · Aerial Photo/Video

Autonomous Vehicles

3D Point Cloud · Short/Long-Range LiDAR · Trajectory Planning · Pedestrians Labeling · Intersections · Traffic Lights · Bikes · Objects

Facial Recognition

Preparing Matching Image Sets · Identifying Unique Attributes · Matching Accessories, etc.

Precision Farming

Crop & Soil Demarcation · Precision Pesticide Application · Crop Anomaly Detection

salad, vegetables, and fruits being classified with artificial intelligence — Tags can be used to describe visible features and to classify whole images, particular areas, items, and specific attributes. Ideal for search engines, recommendation engines, and discovery platforms.

bounding boxes using computer vision of items on a grocery store shelf — A bounding box is a rectangle drawn around the extremities of an object. Ideal for object identification, classification, localization and damage assessment for auto insurance, product identification for retail, and product anomaly detection for manufacturing.

polygon annotation around a sea turtle using machine learning — Polygons allow annotators to create pixel-perfect silhouettes of amorphous entities. Ideal for object detection, semantic segmentation, instance segmentation, volumetric segmentation, and composite objects.

lines and splines on a swimmer in a pool using artificial intelligence — Lines are a series of points that can be used to define slope, direction, or edge. 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. Ideal for defining lane markings and interpolation.

facial recognition of two black woman on a beach using machine learning — Facial recognition relies on distinguishing subtle key attributes of a person’s face at various angles and in diverse lighting. Ideal for security and identity confirmation, driver safety, organizing photography and video, emotional intelligence, and social media.

3d point cloud around moving trucks on a highway — 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.

keypoints of runners on a track using machine learning computer vision — A point that defines an object or demarcates part of an object. Ideal for keypoint detection & mapping, showing movement, 6Dof object pose, sports analysis and medicine, virtual and augmented reality, robotic manipulation, and visual navigation.

Powerful Image Recognition Tools to Train Your AI Models

Classifications
Bounding Boxes
Polygons
Lines and Splines
Facial Recognition
Point Cloud
Keypoints

Image Recognition Pricing Packages

Image, Video, and Sensor Data Annotation Services

We offer cost-effective packages while maintaining the highest quality.  All of our packages include: 

Client Testimonials

Our machine learning projects are highly dependent on accurately annotated data, and Innodata has a wide reach to experts that can make sense of some of the complex datasets we work with.

Rahul Garg

Chief Product Officer, Pypestream

Innodata has been instrumental for us as an SDO (Standards Developing Organization) as we transform our production process into a digital-first operation, allowing us to build new and better products as a result of their diligent work digitizing our content. Their production team is also adept at just about any technical task we send their way, saving our team valuable time and money.

Dan Berger

Senior Manager of Production

Innodata’s data transformation platform has helped us drive innovation and productivity that’s only possible by expertly combining AI and human expertise.

Patricia Smith

Bank of New York Mellon

(NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,000 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI.