Object Detection Using Faster R-CNN models

Mask_RCNN implementation in TensorFlow/Keras

Push features to OSM taked from satellite images.

Pengaplikasian Algoritma Divide and Conquer Dalam Optimasi R-CNN Semantic Segmentation

Deep Learning student project on vehicle detection

Deployment of different object detection models.

Implementation of SPP-net Algorithm

Projet d'étude d'étiquetage d'image par deep-learning. Détection d'objets et de relations entre objets.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

R-FCN Tensorflow version for primary students

creating intel company oriented design

An academic project about the retrieve of information about notes in music sheets using a Faster R-CNN and MUSCIMA++ dataset. The project was made by me and Federico Magnolfi [@fedem96].

Mask R-CNN with OpenCV

Real time instance segmentation with Mask R-CNN, live from webcam feed.

The official implementation code of paper: "AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".

A R-CNN machine learning model for handling Pop-up window in mobile Apps.

My implementation of RCNN for the Flower Dates