README.md

metadata

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