Wrong Roboflow return result after prediction

Hi
I am trying out the api to return the result. The result of the bounding box seem to be off despite when I do the roboflow save action to save the image to visualize the bounding box. The save action shows the correct position of the bounding box but not the return result. Any advice?

predict = model.predict("test.jpg", confidence=40, overlap=0).json()
gives when the python return the json result:

{'x': 508.5, 'y': 212.5, 'width': 263.0, 'height': 225.0, 'confidence': 0.9291292428970337, 'class': 'car', 'image_path': 'test.jpg', 'prediction_type': 'ObjectDetectionModel'}
{'x': 233.0, 'y': 164.0, 'width': 40.0, 'height': 34.0, 'confidence': 0.8354455232620239, 'class': 'car', 'image_path': 'test.jpg', 'prediction_type': 'ObjectDetectionModel'}
{'x': 347.5, 'y': 173.0, 'width': 53.0, 'height': 146.0, 'confidence': 0.7597783803939819, 'class': 'person', 'image_path': 'test.jpg', 'prediction_type': 'ObjectDetectionModel'}

whereas if i drop the image into the roboflow ui to do the detection, using confidence level of 40 and overlap of 0, on the roboflow ui , it is
{
"predictions": [
{
"x": 406.5,
"y": 170,
"width": 211,
"height": 180,
"confidence": 0.929,
"class": "car"
},
{
"x": 277.5,
"y": 138.5,
"width": 43,
"height": 117,
"confidence": 0.84,
"class": "person"
},
{
"x": 186.5,
"y": 131.5,
"width": 31,
"height": 27,
"confidence": 0.784,
"class": "car"
}
]
}

Comienza con la llamada model.predict("test.jpg", confidence=40, overlap=0).json() y reproduce las coordenadas reportadas para test.jpg. Compara esos resultados con la salida de la Roboflow UI y la visualización guardada; después, determina por qué difieren las bounding boxes. Se considera terminado cuando los resultados de la API y la UI coinciden para esta reproducción o cuando la discrepancia está documentada con una resolución clara.