Model Demo

How an image becomes a prediction, step by step.

  1. 01

    Input image

    A Sentinel-2 patch (Dataset Library) or your own JPG/PNG upload.

  2. 02

    Preprocessing

    Resize to 224×224, convert to tensor, ImageNet normalization.

  3. 03

    TerraShift ResNet50

    Pretrained backbone + fine-tuned 10-class head runs inference.

  4. 04

    Prediction

    Class label, confidence, and probabilities across all 10 classes.

  5. 05

    Grad-CAM (optional)

    Highlights which regions of the image drove the prediction.

Try it live in the Dataset Library.