SEMANTIC SEGMENTATION IN SUPERMARKET PRODUCTS

SEMANTIC SEGMENTATION IN SUPERMARKET PRODUCTS

Techniques to classify and segment dense supermarket shelves in orthographic images.

Computer VisionSemantic SegmentationObject DetectionCloud Computing

Overview

This project is in the context of the work I developed as a Freelancer in the Computer Vision field. The project used computer vision techniques in different components, such as semantic segmentation, object detection and classification, and others to detect different items in supermarkets imagery. Cloud-based computing was involved.

My Role

Computer Vision Freelancer

Technologies & Skills

Semantic SegmentationObject DetectionClassificationCloud Computing

Key Achievements

  • Short project of 8 months duration
  • Constrained scope, oriented towards funds raising
  • Successfully delivered CV techniques for supermarket shelf analysis

Interested in this project?

Let's discuss how I can help with your next challenge.

Get in Touch
Alejandro Rodríguez Ramos | AI Consultant & Strategist