---
title: FracAtlas YOLACT+
emoji: 🦴
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 5.23.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Fracture detection on X-rays using YOLACT+
---

# FracAtlas Fracture Detection — YOLACT+ (ResNet-18)

Upload an X-ray image to detect and segment bone fractures.

## Model
- **Architecture:** YOLACT+ with ResNet-18 backbone
- **Dataset:** FracAtlas (717 fractured + 3366 non-fractured X-rays)
- **Training:** 200 epochs | AdamW | Cosine LR with warmup

## Results (Validation Set)
| Metric | Value |
|--------|-------|
| Precision | 0.5328 |
| Recall | 0.5422 |
| F1 Score | 0.5374 |
| Avg IoU | 0.9405 |

## Author
Muhammad Adil — MS Data Science, ITU Lahore