predictions = model(img)
### Object Detection
* **Faster R-CNN MobileNetV3-Large FPN:** Combining the MobileNetV3 Large backbone with a Faster R-CNN detector and a Feature Pyramid Network leads to a highly accurate and fast object detector. The pre-trained weights are fitted on COCO 2017 using the provided reference [scripts](https://github.com/pytorch/vision/tree/master/references/detection#faster-r-cnn-mobilenetv3-large-fpn) and the model is 5x faster on CPU than the equivalent ResNet50 detector while remaining competitive in [terms of accuracy](https://github.com/pytorch/vision/blob/master/docs/source/models.rst#object-detection-instance-segmentation-and-person-keypoint-detection). 
* **Faster R-CNN MobileNetV3-Large 320 FPN:** This is an iteration of the previous model that uses reduced resolution (min_size=320 pixel) and sacrifices accuracy for speed. It is 25x faster on CPU than the equivalent ResNet50 detector and thus it is good for real mobile use-cases.

**Usage:**
