aiTouch - Data Science, Artificial Intelligence, Annotations, Analytics

What is Image Annotation?

An integral process of Computer Vision (CV), Image annotation is the principal force driving many Artificial Intelligence (AI) products we interact with daily. It is the process of labeling images of a dataset to train a machine learning model. A human-powered task of annotating an image with labels, image annotation sometimes also involves computer-assisted help. A significant step in creating most computer vision models, image annotation is vital for datasets to be valuable components of machine learning and deep learning.

At aiTouch our experts annotators use tags or metadata to identify the specific characteristics/ features of the data that the AI model will be trained to learn or recognize. These tagged images, popularly known as datasets, are then used to teach the computers to identify and categorize these characteristics in unlabeled images. The type of annotation required will depend on the use case the project is designed for.

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Types of Image Annotation

Bounding Boxes

The bounding box is the most popular and commonly used image annotation method. It is applicable for a wide range of use cases like retail, robotics, and autonomous vehicles. Our experts use rectangular box annotation to illustrate objects and create training data, enabling trained algorithms to identify and classify objects during the ML process. We use 2D and 3D bounding box annotation tools depending on the quality and quality of the data.

Polygon Annotation

Polygon annotation allows all of an object’s exact edges to be annotated, regardless of shape. These annotate irregular objects within an image - asymmetrical things that don’t easily fit into a box. Our annotators plot points on each vertex of the target object, allowing computer vision and other AI models to recognize and respond to them. This technique is beneficial in annotating aerial imagery with a higher level of precision to build sharper and more accurate vision models.

Semantic segmentation

Used when high precision is required, semantic segmentation ensures every component of an image belongs to only one class. Our team segments the images into different parts and assigns categories (like a car, sign, bike, pedestrian) to each pixel for creating high-performing data sets. It helps train AI models to recognize and classify specific objects into multiple formats, even if they are partially hidden or obstructed.

3D Cuboid Annotation

This technique involves labeling objects in an image using cuboids for processing 3D training data. aiTouch’s annotators use cube-shaped boxes to teach ML models to go beyond mere identification of objects to get a more in-depth dimensional view (location, height, width) and build a more comprehensive model.

Image Classification

In this annotation technique, images use a single label to identify the entire image. Our team creates datasets that train the AI model to recognize specific objects even in an unlabeled image that looks similar to images in datasets used to train the model. This method is ideal for capturing abstract information, or time of the day, or for filtering images that don’t meet the criteria from the beginning. Training images for image classification is also referred to as tagging and aims to identify the presence of a particular object and categorize it according to a predefined class.

Polyline Annotation

Polyline annotation helps build datasets for precision application models. Objects in an image are annotated by drawing an accurate contour around them. aiTouch's annotators create training datasets to train an ML model to identify physical boundaries to operate within. Polyline plays a significant role in the safe operation of autonomous cars, drones, or robotics. It is of great value for boundary recognition to annotate sidewalks, road marks, lanes, and other boundary indicators.

Landmark/ Keypoint Annotation

Keypoint annotation helps label facial/skeletal features (including facial expressions and emotions), automotive parts, etc. Our team outlines object and shape variations by connecting individual points across objects to identify and tag central points of interest within an image, landmark, or key point. Landmark annotation is especially significant in face recognition.

Why aiTouch

In-house Annotation and Labeling Tool

State-of-the-art in-house tool capable of performing various types of annotation & labeling

Competitive Pricing

Cost-effective services delivered within budget, ensuring the best cost: quality ratio

Quality with Accuracy

Multiple stages of auditing & reviewing to deliver high quality & accurate datasets

Enhanced Data Security & Privacy

Follow best practices to deliver high standards of data security & safeguard customers’ privacy

Highly Scalable Service

Proven ability to deliver accurate & high-performing data across use cases, scaling as per client need

Speedy Delivery

Proven processes & next-gen tools that deliver high-quality training data at greater speed

Powerful APIs

Powerful API integration to connect with clients’ existing MLOPs infrastructure

Full Spectrum Labeling

Supports static and dynamic labeling to capture complex object changes over time. Availability of customized classes and multiple attributes per instance

Industries We Cater To / Domains That Need Image Annotation Services

Organizations working on AI ML-based business models can leverage our quality and customizable image annotation services. These could be spread over many domains, from e-commerce, retail, healthcare, automotive, government to agriculture, security, manufacturing, robotics, and many more.

Retail

Optimized training data for AI & ML has made imagining innovative consumer experiences in the retail space more plausible. Vision-based inspection allows deep learning of consumer behavioral patterns, making it possible to predict the type of product to pitch successfully.

E-Commerce

Image annotation in e-commerce enables experts to categorize content by multiple attributes, significantly improving online shoppers’ search relevance and customer experience.

Healthcare

AI programs supported with annotated medical imaging help quickly identify patients' current medical requirements and future health risks, revolutionizing how medical diagnosis and treatment are done.

Automotive

As the concept of smart cars and autonomous vehicles gains momentum in the automotive sector, robust AI programs like image annotation create training data that will help detect and differentiate images to make travel safer and hassle-free.

Robotics

Computer vision supported with reliable image annotation holds the key to automation in the real world. Trained AI ML models infuse robotic process automation with intelligence to carry out operational tasks more effectively and efficiently.

Manufacturing

From sorting inventory through computer vision to 3D cuboid annotation for robotics process automation in product packaging, trained AI programs are increasingly reducing human efforts at all stages.

Finance & Insurance

Image annotation helps extract and organize relevant material from vast volumes of unstructured visual data to enable automation and streamlining of manual processes and operations.

Security & Surveillance

Image annotation is crucial for agile security. It assists processes like night vision, crowd detection, thermal vision, traffic motion, face identification, pedestrian tracking, theft detection, etc. Using annotated images, annotators create datasets for video equipment to provide more comprehensive security.

Agriculture

AI-trained robots, drones, and machinery help farmers protect their crops with minimal human intervention. Image annotation in agriculture helps in livestock management, geo sensing, crop health monitoring, plant fructification detection, and unwanted crop detection, to name a few.

Government

Image annotation offers the ideal solution for handling sensitive data that requires secure processing at various levels, central, state, or local.

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SF-221, Second floor, IT Complex JMD Megapolis , Village Tikri, Sohna Road, Gurgaon-HR-122001

Email Address

Career Enquiry: career@aitouch.in

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+91 124 484 6919

+91 8787 231 581

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