A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Mar 9, 2024 · Helper functions for downloading images and for visualization. Visualization code adapted from TF object detection API for the simplest required functionality.

Jan 25, 2022 · In case you did not find a dataset to solve your specific problem then you can build your own by collecting and annotating images. There are many ways to collect images for …

Dec 19, 2018 · the used model is trained over images of common food wrappers and plastic bottles ,this model is integrated with android application which will provide image captured to …

Feb 3, 2025 · In this blog post, we will walk through the process of building a deep learning model to classify different types of plastic using Transfer Learning with TensorFlow. We will use a pre …

Oct 12, 2023 · To address these issues, a plastic waste detection system using TensorFlow pre-trained object detection and MobileNet V2 has been proposed. This work is mainly focused on …

May 3, 2025 · Image recognition is a task where a model identifies objects in an image and assigns labels to them. For example a model can be trained to identify difference between …

A machine learning model using TensorFlow object detection API, trained over 30K+ images of plastic wrappers and bottles from garbage dumps. Around 82% accuracy rate of identifying …

After training, this code can be used to use our model on images. It takes in the user defined image, a jpg file, and resizes it to the input size of the model. Then, the pixels of the resized …

This study will detect and localize plastic waste in the image using the Faster R-CNN algorithm by utilizing the TensorFlow object detection framework. The system implements four network …