---
license: agpl-3.0
library_name: transformers
pipeline_tag: object-detection
tags:
- object-detection
- yolo
- custom-model
- finetuned
---

# LykaAustria/nicpras_finetuned_yolo

This is a fine-tuned YOLO model trained for object detection on a custom dataset.

## Model Details

- **Base Model:** YOLOv3
- **Fine-tuned On:** [Dataset Name]
- **Task:** Object Detection
- **Framework:** Ultralytics

## Intended Use

This model is designed for detecting objects in images. It works best for the following use cases:
- Use Case 1
- Use Case 2

## Configuration File

The configuration file (`config.yaml`) is required to use this model in CVAT. Download it: https://huggingface.co/LykaAustria/nicpras_finetuned_yolo/blob/main/config.yaml.

## How to Use

You can load this model using the `transformers` library as follows:

```python
from transformers import pipeline

# Load the model
model = pipeline("object-detection", model="LykaAustria/nicpras_finetuned_yolo")

# Run inference
results = model("path_to_image.jpg")
print(results)