# Introducing AfterImage: Custom Vision Models Without the ML Overhead

> Training a custom image classifier used to mean weeks of setup. AfterImage changes that — bring your data, get your model.

Training a custom image classifier used to mean weeks of setup: picking a framework, writing data pipelines, managing GPU instances, tuning hyperparameters, and hoping the model actually generalizes.

AfterImage removes all of that.

## What AfterImage does

AfterImage is a no-code vision model trainer. You upload your images, label them, and click train. ALTAI handles the rest — model architecture selection, training infrastructure, optimization, and deployment.

The result: a production-ready REST API endpoint for your custom classifier.

## Who it's for

- **Product teams** who need visual inspection without hiring ML engineers
- **Healthcare providers** training diagnostic image classifiers on proprietary datasets
- **Manufacturing companies** building defect detection on their specific parts
- **Defense and security** teams with sensitive data that can't leave their environment

## How it works

1. Upload your images (JPG/PNG, any resolution)
2. Label each image with a class
3. Click **Start Training**
4. Get an API endpoint when training completes

No Python. No CUDA drivers. No infrastructure management.

## Try it

[Create a free account](https://app.altai.dev/auth) and train your first model today.

Source: https://altai.dev/blog/introducing-afterimage/