[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

Visual Search is a little app to find and cluster similar images using Tagbox

ARKit 1.5 - Image Recognition Demo

Java based Chess Board Scanner, which converts 2D chess board image into a machine readable format a.k.a. Forsyth–Edwards Notation (FEN). It uses OpenCV and Deeplearning4j frameworks, complemented with some proprietary algorithms implemented for realizing the goal. It currently supports the chess board and pieces sets of the most common online c…

ASCII summary for simple sequential models in Keras

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco

Balanced Multiclass Image Classification with TensorFlow on Python.

Interactive Image similarity and Visual Search and Retrieval application

Tool to gather main colors of an image using Unity.

Pre-trained VGG-Net Model for image classification using tensorflow

CarLens - Recognize and Collect Cars

TensorFlow implementation of DeepMask and SharpMask

Paper notes in deep learning/machine learning and computer vision

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

Bottleneck Transformers for Visual Recognition

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi