Sequence Based Object Detection Using Mask RCNN

Object detection is a computer vision task that involves both localizing one or more objects within an image and classifying each object in the image. Sequence based object detection using mask RCNN is a challenging computer vision task that requires both successful object localization in order to locate and draw a bounding box around each object in an image. An extension of object detection involves marking the specific pixels in the image that belong to each detected object detection instead of using coarse bounding boxes during object localization. There are perhaps four main variations of the approach, resulting in the current pinnacle called Mask R-CNN.

R-CNN,Fast R-CNN,Faster R-CNN,Mask R-CNN. Mask R-CNN is a sophisticated model to implement, especially as compared to a simple or even state-of-the-art deep convolutional neural network model.

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