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Automate Image Categorization and Attribution

Process thousands of images automatically with computer vision. From product detection to multi-label classifications and attributions, computer vision can do in minutes what it would take days to do manually, and with more accuracy.

Automatically Generate Labels from an Image

Enable Visual Search for Similar Products

Automate Quality and Accuracy Controls for Uploaded Images

Improve UX to Save Time and Money

Create a Computer Vision Model in Three Easy Steps

You won’t need to hire a machine learning engineer to implement your own working computer vision model.

Process Images for Accurate and Quality Data

Computer vision allows ecommerce platforms to automate the review and processing of thousands of images being uploaded by various sellers. Set standards for image quality, monitor for copyright and watermarks, remove inappropriate content, and assign accurate categories and labels for objects detected within images.

Boost Your Revenue by Improving Customer Experience

Computer vision can be used to power visual search technology within your platform. Show customers similar products based on color, material or function. Visual search is changing the way customers shop, and has been well received by avid online shoppers.

Continuously Improve and Scale Your Model After Implementation

As a centralized management tool for your datasets, Roboflow allows you to deploy your model and scale it as you collect more data. Easily detect and categorize products, adjust configurations, and experiment with different labeling and training services.

Improve Model Quality With Less Data

Roboflow helps you get the most out of the data you've already collected.

Tiling

Slice your high-resolution images up into smaller images. This preprocessing step makes it easier for your model to detect small objects, patterns, or fine details. Crucial information when it comes to processing product images in ecommerce platforms.

Advanced Health Check

Helpful charts that provide insight into the quality of your dataset and how to improve it, including a breakdown of class balance, dimension insights, and an annotation heatmap.

Augmentations

Generate augmented versions of your source images to simulate different camera angles, lighting, and contrasts. Create more training data without uploading more images.