Pretrained on ImageNet ResNet-152 model in Keras
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Updated
May 12, 2018 - Python
Pretrained on ImageNet ResNet-152 model in Keras
An OCR to detect and identify text in Indian Regional Languages
Scene Classification using pytorch : Dataset created using frames from youtube videos
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
Live Image Classification
Udacity Deep Learning Nanodegree project
DeepLearning Benchmark for multi-harware & multi-framework
Wondering of which breed is that streat dog. Model to predict the breed of a street dog given its image. Usses RESNET for predoction.
Dog breed classifier using Resnet150 and Pytorch
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Multiple Imagenet frameworks used for "dogs vs cats"
A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.
Implementation of resnet.
Classification CNN models
Code repository for Tactode tiles recognition using: (i) machine learning with HOG&SVM, (ii) deep learning with some neural networks like VGG16/19, ResNet152, MobileNetV2, YOLOv4 and SSD, (iii) matching of handcrafted features with SIFT, SURF, ORB and BRISK, and (iv) template matching.
exploring image captioning
This repository hosts all the scripts used in the implementation of bird detection models. We are using Convolutional Neural Networks(CNN)'s Faster R-CNN, Single Shot Detector(SSD), and YOLOv3 meta-architectures while utilizing ResNet-101, MobileNet, Inception ResNet v2 and VGG-16 feature extraction Networks (backbone network).
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