Classification

Sort and categorize images automatically. Classify products by quality, style, or category; assess conditions; and organize images into custom taxonomies.

What is Classification?

Image classification assigns a category or label to an entire image. Unlike object detection (which finds objects within images), classification tells you what category the whole image belongs to.

Single-Class Classification

Each image belongs to exactly one category. Perfect for binary decisions like pass/fail, good/bad, or yes/no classifications.

Multi-Class Classification

Images can belong to one of multiple categories. Classify products by type, style, or quality grade from a predefined set of categories.

Custom Taxonomies

Define your own classification categories. Create taxonomies that match your business needs, whether it's product categories, quality grades, or condition assessments.

Common Use Cases

Quality Control

Classify products by quality grade. Sort products into quality tiers like excellent, good, fair, or poor based on visual inspection.

Product Sorting

Sort products by category, style, or type. Automatically categorize products for inventory management or customer recommendations.

Condition Assessment

Assess product condition automatically. Classify products as new, used, damaged, or refurbished based on visual inspection.

Defect Classification

Classify defects by type. Categorize defects as scratches, dents, stains, or other types for quality control and root cause analysis.

Style Classification

Classify products by style or aesthetic. Sort fashion items, furniture, or other products by visual style characteristics.

Scene Classification

Classify images by scene type. Categorize images as indoor/outdoor, day/night, or by environment type for organization and search.

Training Classification Models

Train custom classification models for your specific categories and use cases.

Data Collection

Collect images for each category you want to classify. Include diverse examples in various conditions to improve model robustness.

Labeling

Label images with category names. Assign each image to one or more categories depending on your classification type.

Model Training

Train classification models using transfer learning from pre-trained models. Achieve high accuracy with relatively small datasets.

Model Evaluation

Evaluate models using accuracy, precision, recall, and confusion matrices. Test on validation data to ensure models perform well on new images.

Classification Templates

Use pre-built templates to quickly get started with common classification tasks.

Quality Control Template

Template for classifying products by quality grade. Includes categories for excellent, good, fair, and poor quality.

Product Sorting Template

Template for sorting products by category. Customize categories for your specific product types.

Condition Assessment Template

Template for assessing product condition. Includes categories for new, used, damaged, and refurbished.

Defect Classification Template

Template for classifying defects by type. Includes categories for common defect types in manufacturing.

Getting Started

Ready to start classifying images automatically?