Areas Involved :- Computer vision, Deep learning, Weed detection and crop detection, tensorflow-api
Problem Statement
Objects contained in image files can be located and identified automatically. This is called object detection and is one of the basic problems of computer vision. As we will demonstrate, region-base convolutional neural networks(Faster R-CNN) are currently the state-of-theart solution for object detection. The main task of this thesis is to detection and classification of carrot crop and weed.
Output Result
- Test 1
- Test 8
- Test 10
