| Some example applications of object detection include: | |
| self-driving vehicles: detect everyday traffic objects such as other vehicles, pedestrians, and traffic lights | |
| remote sensing: disaster monitoring, urban planning, and weather forecasting | |
| defect detection: detect cracks or structural damage in buildings, and manufacturing defects | |
| from transformers import pipeline | |
| detector = pipeline(task="object-detection") | |
| preds = detector( | |
| "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg" | |
| ) | |
| preds = [{"score": round(pred["score"], 4), "label": pred["label"], "box": pred["box"]} for pred in preds] | |
| preds | |
| [{'score': 0.9865, | |
| 'label': 'cat', | |
| 'box': {'xmin': 178, 'ymin': 154, 'xmax': 882, 'ymax': 598}}] | |
| Image segmentation | |
| Image segmentation is a pixel-level task that assigns every pixel in an image to a class. |