Preprocess the data
To finetune a model, you must preprocess the data you plan to use to match precisely the approach used for the pre-trained model.
[AutoImageProcessor] takes care of processing image data to create pixel_values, pixel_mask, and
labels that a DETR model can train with. The image processor has some attributes that you won't have to worry about:

image_mean = [0.485, 0.456, 0.406 ]
image_std = [0.229, 0.224, 0.225]