---
license: mit
base_model:
- Ultralytics/YOLOv8
pipeline_tag: object-detection
tags:
- cardilla
- weed
- yolo
---

# Model characteristics #

- Tiled-based inference mode. Optimal input must be 640x640px. Batch-based inference is recommended.

# Model Download and Inference #

Install dependencies:

```bash
pip install ultralytics huggingface_hub
```

And then run the following code for a simple image inference. You can do the inference with either images or videos, following the Ultralytics convention.

```python
from huggingface_hub import hf_hub_download
from ultralytics import YOLO

model_path = hf_hub_download(
    repo_id="jmartinpizarro/carlav8t",
    filename="carlav8t.pt"
)

model = YOLO(model_path)

# Perform object detection on an image
results = model("test.png")  # Predict on an image, assume 640x640 resolution
results[0].show()  # Display results
```