---
license: other
license_name: custom-non-commercial
license_link: https://huggingface.co/Muhammad8815/inno-rmbg-removal-8815/blob/main/LICENSE
pipeline_tag: image-segmentation
tags:
- remove-background
- background-removal
- pytorch
- onnx
- image-segmentation
---

# Inno RMBG Removal v1.0

This is a custom-trained image background removal model using PyTorch and ONNX. It performs pixel-wise background removal on input images with high accuracy.

## Model Highlights

- Supports PyTorch `.pth` and ONNX inference.
- Trained on diverse images of objects, people, and scenes.
- Provides a binary mask of the foreground, suitable for downstream tasks (e.g. background replacement, transparency effects).

## Example Input/Output

**Input:**  
![example input](example_input.jpg)

**Output (no background):**  
![result](results.png)

## Inference Code (PyTorch)
```python
from PIL import Image
from utilities import preprocess_image, postprocess_image, load_model

model = load_model("model.pth")
image = Image.open("example_input.jpg")
mask = model.predict(image)
image.putalpha(mask)
image.save("output.png")