-
MNIST, USPS, and CIFAR10
The dataset used in this paper is MNIST, USPS, and CIFAR10. The dataset is used for privacy-preserving CNN training. -
Caffe Framework with FPGA Support
The dataset used in this paper is a modified version of the Caffe CNN framework with support for FPGA implementations. -
Dynamic Approach for Lane Detection using Google Street View and CNN
A dataset of 2000 RGB images for lane detection using SegNet architecture. -
Laryngeal Dataset for Comparative Study on CNN Based Semantic Segmentation
A novel dataset of laryngeal endoscopic images with ground truth segmentation maps for comparative study on CNN-based semantic segmentation. -
ChestX-ray14
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated... -
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-...
Face Anti-spoofing gains increased attentions recently in both academic and industrial fields. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and... -
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
The dataset used in this paper is a CNN training dataset, specifically VGG-16, VGG-19, and AlexNet. -
Leibniz University Hannover
Imported
Deep Granulometry
This repository contains the data related to the paper "Granulometry transformer: image-based granulometry of concrete aggregate for an automated concrete production control"...
