product-image-recognition
Identifies and classifies products in images using pre-trained deep learning models. Recognizes product categories, brands, and specific items without requiring custom model training.
visual-similarity-search
Finds visually similar images from a database based on an input image query. Uses deep learning embeddings to match products by appearance rather than metadata.
duplicate-product-detection
Identifies duplicate and near-duplicate images in a product catalog, catching variations like different angles, lighting, or minor edits that basic pixel matching would miss.
custom-visual-model-training
Trains custom image recognition models tailored to specific product categories or visual attributes not covered by pre-trained models. Requires contacting sales for implementation.
batch-image-processing
Processes multiple images in bulk for recognition, similarity search, or duplicate detection. Optimized for handling large catalogs without individual API calls.
image-tagging-and-classification
Automatically assigns tags and classifies images into predefined categories using computer vision. Enables rapid metadata generation without manual annotation.
api-integration-for-visual-search
Provides REST API endpoints for integrating visual search and image recognition into applications. Enables developers to embed Ximilar capabilities directly into their products.
fashion-and-apparel-recognition
Specialized image recognition for fashion items including clothing, accessories, and footwear. Identifies style, color, fit, and other fashion-specific attributes.
+2 more capabilities