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:

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)