441 Open source projects that are alternatives of or similar to zalo-landmark

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Easily train an image classifier and then use it to label/tag other images

TensorFlow ImageNet demo using ROS sensor_msgs/Image

[NeurIPS 2021] Global Filter Networks for Image Classification

Paper notes in deep learning/machine learning and computer vision

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Bottleneck Transformers for Visual Recognition

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

Deep Learning Computer Vision Algorithms for Real-World Use

A Laravel Package/Facade for the AWS Rekognition API

Player detection and ball detection in football matches using image processing(opencv).

Balanced Multiclass Image Classification with TensorFlow on Python.

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

A photo OCR project aims to output DMS messages contained in sign structure images.

Experiments with Mobile

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Chrome browser extension for using TensorFlow image recognition on web pages

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Tool to gather main colors of an image using Unity.

Final Project of the Udacity AI Programming with Python Nanodegree

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

A machine learning exercise, using KNN to classify deforested areas

CNN image classifier implemented in Keras Notebook 🖼️.

Binary Image Classification in TensorFlow

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

Parametric Contrastive Learning (ICCV2021)

No description or website provided.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

No description or website provided.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

Detecting skin cancer in encrypted images with TensorFlow

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Extract deep learning features from images using simple python interface

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

A unified program to check predictions of different convolutional neural networks for image classification.

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

R package for generating color palettes from arbitrary images.

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…

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Resolver Sudoku de genina.com

Serving PyTorch models with TorchServe 🔥

A collaborative tool for labeling image data for yolo

CarLens - Recognize and Collect Cars

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

image classification via video input, frame-by-frame

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.