jayanaik9090/apple-fruit-detection

AUTOMATIC APPLE FRUIT DETECTION USING DEEP LEARNING

APPLE-FRUIT-DETECTION

AUTOMATIC APPLE FRUIT DETECTION USING DEEP LEARNING In this project, an efficient approach has been proposed to localize every clearly visible object from an image. For object detection we have processed every input image to overcome several complexities, to achieve better result we use object detection algorithm. We have also implemented Convolution Neural Network based on object detection model i.e YOLO�V3.Fruit Detection model that is very proficient regardless of different limitations such as high and poor image quality, same fruit but different shape, size and color, multiple overlapped fruits. This model is capable of detecting single fruit separately from a set of overlapping fruits. Nevertheless, taking a number of challenges into consideration, our proposed model is capable of detecting fruits from image with a better accuracy and average precision rate.

Please see the below links

1. https://colab.research.google.com/drive/1lTGZsfMaGUpBG4inDIQwIJVW476ibXk_

2. http://blog.ibanyez.info/blogs/coding/20190410-run-a-google-colab-notebook-to-train-yolov3-using-darknet-in/