---
title: 9027941P
emoji: 📚
colorFrom: gray
colorTo: pink
sdk: gradio
sdk_version: 5.6.0
app_file: app.py
pinned: false
license: apache-2.0
---

# Guitar and Wristwatch Detection Model

This Space demonstrates an object detection model trained to identify guitars and wristwatches in images. The model is based on YOLOv8 and has been optimized using OpenVINO.

## Model Details
- Architecture: YOLOv8
- Format: OpenVINO
- Classes: Acoustic Guitar, Wristwatch
- Input: Images (JPG, PNG)
- Output: Annotated images with bounding boxes and confidence scores

## Usage
1. Upload an image or use one of the example images
2. The model will detect and highlight guitars and wristwatches in the image
3. Results show bounding boxes with confidence scores

## Examples
The app includes test images demonstrating detection capabilities:
- Acoustic guitars (acoustic_guitar_005.jpg, acoustic_guitar_006.jpg)
- Analog watches (analog_watch_024.jpg, analog_watch_025.jpg)

## Technical Details
- Built with Gradio 5.6.0
- Uses Ultralytics YOLO for inference
- OpenVINO optimization for improved performance

## License
Apache 2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference