yolo11n-text

pip install ultralytics

from ultralytics import YOLO

# Load the model
model = YOLO("best.pt")

# Run inference
results = model.predict(
    source="image.jpg",
    conf=0.25,
    iou=0.7,
    imgsz=640
)

# Process results
for result in results:
    boxes = result.boxes
    for box in boxes:
        # Get bounding box coordinates (x1, y1, x2, y2)
        xyxy = box.xyxy[0].tolist()
        confidence = box.conf[0].item()
        print(f"Text box: {xyxy}, confidence: {confidence:.2f}")