README.md

---
title: Gatekeeper Float16
emoji: 🏃
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 6.14.0
python_version: '3.13'
app_file: app.py
pinned: false
license: apache-2.0
---

# Gatekeeper Model

## What This Model Does
The Gatekeeper Model is a binary image classifier.
It takes an image as input and determines whether
the image contains a cervix or not.

## Model Details

- Architecture: ResNet50
- Format: TensorFlow Lite Float16
- Size: 44MB
- Task: Binary Image Classification

## Class Labels

| Index | Label      | Description                       |
|-------|------------|-----------------------------------|
| 0     | Non-Cervix | Image does not contain a cervix   |
| 1     | Cervix     | Image contains a cervix           |

## How to Use

1. Open the application
2. Upload an image using the upload box
3. Click the Run Classification button
4. View the confidence scores and prediction on the right side

## Disclaimer

This tool is strictly for research purposes only.
It is not validated for clinical use and should not
be used to make any medical decisions or diagnoses.