Global-Wheat-Detection

Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detection.

Stars

Ecosystems: Jupyter Notebook

Statistics for this project are still being loaded, please check back later.

This repository shows how to train a custom detection model with the TFOD API, optimize it with T...

Machine Learning powered app to decide whether a photo is food or not.

Applying progressive resizing to building models in Keras.

Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Eva...

This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) t...

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.

Official implementation and data release of the paper "Visual Prompting via Image Inpainting".