What is Computer Vision?

Computer Vision enables AI models to automatically identify significant data points from visual content found in picture and video data as well as physical environments. This technology enables operations through the following functions:

Facial Recognition

Facial Recognition

Enhancing security and user authentication.
Autonomous Vehicles

Autonomous Vehicles

Enabling real-time object detection and navigation.
Retail AI

Retail AI

Use automation to run inventory management tasks as well as analyze the buying patterns of customers.
Medical Imaging AI

Medical Imaging AI

Supporting disease identification in X-rays, MRIs, and CT scans.

The achievement of these results requires data annotation with high-quality standards. The expert team at Logictive Solutions optimizes the training process of AI models to help businesses develop effective and precise CV applications.

Our Computer Vision Annotation Services

The company delivers tailored annotation services that fulfil precise AI training demands and business needs:

Keypoint Annotation

Keypoint annotation involves marking specific points on an object, like joints on a human body or corners on a face. It's widely used in pose estimation and facial recognition tasks.

These points help train models to understand shapes, motions, and spatial relationships between features, making it essential for applications like activity recognition and gesture tracking.

Tools We Have Experience With

Industries Benefiting from Computer Vision

The technological advancement of industries occurs through Computer Vision, enabling artificial intelligence to automate procedures while extracting meaningful insights from collected data.

Medical & Healthcare Sector

Medical and healthcare sectors utilize Computer Vision to markup radiological scans such as X-rays, CT scans, and MRIs, enhancing AI-based diagnosis and therapy development.

Autonomous Vehicles

AI systems require annotated data to detect roads, traffic elements, and human beings for safe autonomous vehicle navigation and operation.

Retail & E-commerce

Computer Vision technology enhances product discovery and optimizes inventory management and retail surveillance systems for loss prevention in the Retail & E-commerce industries.

Facial Recognition & Security

Facial recognition, along with anomaly detection technologies powered by artificial intelligence, enhances security in public domains, spaces, and workplaces, including confined areas.

Manufacturing & Quality Control

High-precision inspection systems created by AI enable manufacturing plants to apply advanced quality control measures, identifying product defects while performing automated checks.

Prospect to Client Journey with Data Management at Logictive

1

Identify & Analyze

We perform rigorous feasibility checks using task examples and recommend a best process.
2

Kick off

Share the ongoing plan and introduction with the stakeholders.
3

Sprint

Faster time to value with the handpicked team members, training development, and expert task prototyping.
4

Train

Train with real time instruction and online coursework to ensure understanding.
5

Produce & Maintain

Deliver focusing on quality to produce high quality results. And, always looking for way to optimize.

Our Past Work & Experiences

Frequently Asked Questions

01What is the role of annotation in training AI models?

Annotation plays a key role in training computer vision models by providing labeled examples the AI can learn from. It helps the model understand what to look for in images or videos by linking visual data with meaningful tags.

02Why is annotation important in computer vision?

Annotation provides the ground truth needed to teach AI models how to identify and interpret visual patterns. Without accurately labeled data, the models cannot learn effectively or perform tasks like object detection or image classification.

03What types of annotations are commonly used?
  • Bounding Boxes: Rectangular boxes to identify object locations.
  • Polygon Annotation: Precise outlines for irregular shapes.
  • Keypoint Annotation: Marks specific points (e.g., facial landmarks).
  • Image Segmentation: Pixel-level labeling for detailed analysis.
  • Classification Labels: Categorizes entire images or regions.
04Who performs the annotation work?

Annotation is typically done by trained data labelers or annotation specialists using specialized tools. In some cases, it may be partially automated and then manually verified for accuracy.

05What industries use computer vision annotation?
  • Healthcare: Medical imaging analysis (e.g., tumor detection).
  • Automotive: Self-driving cars (object recognition).
  • Agriculture: Crop monitoring and disease detection.
  • Security: Facial recognition and surveillance.
  • Retail: Inventory management and customer behavior analysis.

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