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license: apache-2.0
base_model: Ultralytics/YOLOv8
tags:
- ultralytics
- object-detection
- yolo
- yolov8
- dog
pipeline_tag: object-detection
library_name: ultralytics
---
# 🐶 YOLOv8 Dog Detector
This repository contains a finetuned **YOLOv8** model for **detecting dogs** in images.
- **Model:** `best.pt`
- **Dataset:** Google Open Images v7 (~4,000 dog instances)
- **Task:** Object Detection (1 class: `dog`)
---
## 📦 Installation
```bash
pip install ultralytics
```
## 🚀 CLI Usage (recommended for quick testing)
```bash
yolo detect predict \
model=best.pt \
source="assets/runs/detect/val/example1.jpg" \
imgsz=640 \
conf=0.25 \
save=True
```
Batch infer on folder
```bash
yolo detect predict model=best.pt source="images_folder/" imgsz=640 conf=0.25 save=True
```
## 🐍 Python Usage
```bash
from ultralytics import YOLO
# Load model
model = YOLO("best.pt")
# Run prediction
results = model.predict(
source="assets/runs/detect/val/example1.jpg",
conf=0.25,
imgsz=640
)
# Display or save result
results[0].show() # display
# results[0].save() # save to file
```
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