Object Detection & Recognition

Object Detection & Recognition enables AI and computer vision models to locate, identify, and understand multiple objects within images or videos. Using accurately annotated training data, models learn object classes, positions, and visual features, supporting applications such as autonomous vehicles, retail analytics, surveillance, robotics, healthcare imaging, and intelligent automation.

Object Identification

Object Identification determines what a specific object is by analysing its visual characteristics, shape, texture, and surrounding context. Precise image annotation helps AI models distinguish between similar objects and assign the correct identity, improving visual search, facial recognition, inventory monitoring, quality inspection, security systems, and other computer vision applications.

Classification

Classification organises images or detected objects into predefined categories based on their visual features. Properly labelled datasets teach machine learning models to differentiate classes such as people, vehicles, products, animals, defects, or medical conditions, enabling faster image sorting, content moderation, product categorisation, diagnostic support, and scalable visual data analysis.

Detection

Detection locates the presence and position of one or more objects within an image or video, commonly using bounding boxes and related annotation techniques. High-quality object detection data helps AI models recognise objects in complex scenes, even when they overlap, appear at different scales, or are partially hidden from view.