Abstract:
At present, object detection is one of the popular platforms in whole the world. Because of
uses automation technology in most of the sectors, object detection is most important to
know the accurate object of the machine. Realizing this concept, we made this project. This
project will be detected seven different types of vegetables that are available in our county.
It is implemented by using TensorFlow object detection API that is making use of
OpenCV. This API makes it easy to detect our selected objects by using a pre-trained object
detection model. A pretrained model simply means that it has been trained on another
dataset. The model we have used in our project that is ssd_mobilenet_v2_coco. There are
2100 images in seven separate kind of vegetable used in our project. Using these datasets in our proposed model we are getting up to 99% accuracy based on types of vegetable.
