Build retail and ecommerce solutions that engage and scale
AI is helping retailers increase engagement, effectiveness, and efficiency. Retailers that need superior data quality and model performance rely on FiftyOne as the central place where their AI work happens.
Retail leaders rely on FiftyOne across their AI pipelines
Customer behavior analysis
Optimize the value chain
Get better insights into what shoppers want, and meet those needs more sustainably
Delight your customers
Personalize and maximize customer touchpoints across all shopping experiences
Continuously redefine retail
Build and deploy powerful AI pipelines to stay ahead of the competition
Retail workflows enabled by FiftyOne
Re-identification & tracking made easy
Whether it is customers or products you are aiming to identify or recommend, FiftyOne allows you to manage all your tracking needs and provides builtin tools to evaluate model performance on re-identification.
Recommendation systems without limits
Have images but don’t know how to store all 50 associated labels with each image? With FiftyOne, there’s no limit on how many attributes or descriptions you can add to each sample, allowing you to filter, sort, and slice through even the largest, most complex datasets with ease.
Effortless zero-shot detection
Leverage the best zero shot detection models available today with FiftyOne Plugins! Detect broken products, pre-label your checkout data, and more by applying zero shot detection to your data.
Embeddings visualization in just a few clicks
Compute embeddings on your dataset to unlock similarity and natural language search on your entire dataset. You can even visualize the embeddings to find the hidden structures of your dataset and understand how your model sees your data.
Explore retail use cases
See how computer vision and FiftyOne are changing the retail industry, including inventory management applications, autonomous checkouts, virtual try-ons, product recommendations, and more!
Streamline your visual AI workflows
Supports all popular
computer vision tasks
> Instance segmentation
> Semantic segmentation
> Polygons and polylines
> Point clouds and annotations
> Multiview datasets
> Image, video, and 3D data