---
language: en
license: mit
tags:
- instance-segmentation
- detectron2
- pytorch
datasets:
- custom-dataset
metrics:
- mean-average-precision
pipeline_tag: object-detection
labels:
- background
- germinated
- non-germinated
---


# Instance Segmentation Model

## Description
This model performs instance segmentation using Mask R-CNN. It was trained on a custom dataset containing [X] images with [Y] classes.

## Training Data
- Dataset: [Germination Images]
- Number of Images: [22]
- Number of Classes: [2]

## Usage
Load the model using:
```python
from transformers import AutoModelForObjectDetection, AutoFeatureExtractor

model = AutoModelForObjectDetection.from_pretrained("Dreamy0/GermiNet-instance-segmentation")
feature_extractor = AutoFeatureExtractor.from_pretrained("Dreamy0/GermiNet-instance-segmentation")