Convert coco dataset to tfrecord for the tensorflow detection API.

Facebook bot to "block" people in images (like Black Mirror) using a pretrained neural network.

How to train Mask RCNN on your own dataset

Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image St…

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

COCO API - Python3 https://github.com/philferriere/cocoapi

Chainer implementation of Pose Proposal Networks

Fast Neural Style Transfer in Julia

Reproduce and Adjustment for frcnn

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Detect Credit card number using Mask RCNN and make task easier for OCR to retrive number from the card

How to train an instance segmentation model with mmdetection

[ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

Deep learning project

Convert VOC format XMLs to COCO format json

📝 Tensorflow.js pretrained model of ssd_mobilenet_v1_0.75_depth_coco

This AIM of this repository is to create real time / video application using Deep Learning based Object Detection using YOLOv3 with OpenCV YOLO trained on the COCO datasets. The COCO dataset consists of 80 labels.

Neural Image Captioning 2015 implemented in Pytorch on MS COCO 2014 dataset.