Mask R-CNN adds a branch to the Faster R-CNN model to also predict:Question 24Answera.Object bounding boxesb.Object categoriesc.Image resolutiond.Semantic Segmentation masks

Which of the Following is feature of YOLO algorithm*1 pointSingle CNN simultaneously predicts the bounding boxes and class probabilities for these boxes.Extremely fast. (Base network runs at 45fps with no batch processing)You only(Network) looks at the input image and predicts what objects are presentAll the above

The advanced computer-vision task that tells you where the objects are within the image by returning a mask that tells you which pixel belongs to which object is known as ___ .Object detectionItem detectionImage classificationImage segmentation

Which of the following results does an object detection model typically return for an image?Question 12Answera.A bounding box with the colour values of the main objectb.Bounding box coordinates that indicate the region of the image where all of the objects it contains are locatedc.A class label, probability, and bounding box for each object in the imaged.A class label and probability score for the image

Which approach utilizes existing deep learning models to detect objects in images or video frames?a.Optical flow b.Segmentationc.Template matching d.Pretrained models

Which of the following is a deep learning framework commonly used for object detection?Review LaterTensorFlowScikit-learnPyTorchKeras