---
title: Analogic Watch Detector
emoji: ⌚
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: mit
short_description: Automatic time reading from analog clock images using AI.
---

# Analog Watch Detector

A computer vision application that automatically reads time from images of analog clocks. This project uses a **YOLOv8** model to detect clock components (hands, center, digits) and geometrically calculates the time.

## 🚀 Application Features

*   **Time Detection**: Upload an image of a watch or clock, and the AI will predict the time.
*   **Visual Feedback**: Displays the detected components (Hour hand, Minute hand, Second hand) overlaid on the image.
*   **Test Examples**: Includes a set of test images to try out immediately.

## 🛠️ How it Works

The model detects:
1.  **Clock Face/Circle**
2.  **Hour Hand**
3.  **Minute Hand**
4.  **Second Hand** (if present)
5.  **The Number 12** (for orientation)

Using the coordinates of these components, the application calculates the angles of the hands relative to the center and the 12 o'clock position to determine the exact time.

## 📦 Dataset & Model

*   **Model**: YOLOv8s custom trained on a diverse dataset of watches and clocks.
*   **Training**: Optimized using hyperparameter tuning (`tune4 - best.pt`).

## 👨‍💻 Credits

Developed by **Ana Pinto** and **Pedro Leitão**.
Project developed for a Computer Vision course.