What Is Computer Vision?
Computer vision is the branch of artificial intelligence concerned with enabling machines to see and understand visual data. It encompasses tasks such as image classification (what is in this image?), object detection (where are the objects?), segmentation (which pixels belong to which object?), and pose estimation (how is this body positioned?).
For ecommerce, computer vision is foundational to most AI-powered visual tools. Background removal, product recognition, quality checks, and try-on technology all depend on accurate computer vision to function.
Computer Vision in Ecommerce
Product segmentation is perhaps the most commercially important application: isolating a product from its background with pixel-level accuracy enables all downstream AI photography workflows. Without reliable segmentation, AI-generated backgrounds would bleed into the product or leave artefacts.
Visual search is another high-value application - allowing shoppers to upload a photo and find matching or similar products in a catalogue. This is enabled by embedding models that map images into a shared feature space where similar-looking items cluster together.
Key Applications
- Product background removal and isolation
- Automatic quality control (detecting blurry or poorly lit images)
- Visual product search
- AI try-on - detecting body pose and garment fitting points
- Video analysis for shoppable video tag placement
Real-World Example
When a retailer uploads a product image to Bryft, computer vision models first analyse the image: they identify the product, segment it from the background, detect its orientation, and extract attributes like colour and shape. This analysis then feeds the generative pipeline that places the product into a lifestyle scene - all in seconds.