The bounding box placement is accurate down to a single pixel, allowing Figure Eight customers to have the most accurate possible human-driven object detection for their Computer Vision models.

Faster R-CNN takes an image as input and returns a list of object classes and their corresponding bounding boxes. The architecture of Faster R-CNN is largely similar to that of Fast R-CNN.

It effectively identifies objects such as laptops, mannequins, and pets, displaying bounding boxes and classification labels. However, its reliance on pre-trained models limits its versatility for ...