Object detection is a popular computer vision technique that can detect one or multiple objects in a frame.
Object detection will recognize the individual objects in an image and places bounding boxes around the object.
This model card contains pretrained weights that may be used as a starting point with the DetectNet_v2 object detection networks in Train Adapt Optimize (TAO) Toolkit to facilitate transfer learning.
It is trained on a subset of the Google OpenImages dataset.
Following backbones are supported with DetectNet_v2 networks.