iyakademy Goto Github PK

atmospheric-scattering

atmospheric-scattering2

An algorithm that calculates images of the sky based on light scattering phenomena

bmi-project

machine learning model that predicts body mass index from face images

bookcars

Car Rental Platform with Mobile App

chinese-subtitle-ocr

Optical character recognition for Chinese subtitles using SSD and CNN

deep-learning-notes

Notes from the DeepLearning.AI courses

detection-and-localization-of-traffic-lights-using-rcnns-on-bosch-bstld-dataset

This repository presents a code to detect the rear of cars using RCNNs. The dataset consists of road images in different conditions like daylight and night conditions. The labels are given in the .csv format. Each row of the labels file consists of name of the image, details about coordinates of the bounding box(x_min, x_max, y_min and y_max), and

dog_box

vgg model for learning bounding boxes for Stanford dogs dataset

dogs-vs-cats-image-classifier

An image classifier CNN to classify if doge or cate built using three architectures - a pretrained vgg16, an untrained vgg16, and a custom model built from scratch.

faldetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

fast-rcnn

Fast R-CNN

faster-rcnn-from-scratch

Tensorflow implementation from scratch & custom optimization of Faster-RCNN VGG16 for Logo Detection

faster-rcnn-rpn

Region Proposal Network (RPN) of Faster R-CNN implementation in Python and Tensorflow 1.8 with explanations.

fastmaskrcnn

Mask RCNN in TensorFlow

handwritten-digits-classification-vgg16-from_scratch

Website classifies handwritten digits

handwrittenformulacompetition

The goal of this project is to recognize handwriten formulas and compue the answers

hog_svm

HOG + SVM approach for object detection

image-adaptive-yolo

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

image-classification-using-svm

Image classification tool made using python.It will Predict whether the given image belongs to Animal or Vehicle category.

image-classificationnn

Image classification svm with simple neural network.

imageclassification-vgg16

Built VGG-16 model from scratch to classify images

invariant-templatematching

Rotation & scale invariant template matching

knn-python-implementation

K-Nearest Neighbours is considered to be one of the most intuitive machine learning algorithms since it is simple to understand and explain. Additionally, it is quite convenient to demonstrate how everything goes visually. However, the kNN algorithm is still a common and very useful algorithm to use for a large variety of classification problems. I

learnopencv

Learn OpenCV : C++ and Python Examples

log-anomaly

Log anomaly detection model using a CNN with TF-IDF and sliding window feature extraction.

log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

multitaskobjectstates

Code for the paper "Multi-Task Learning of Object State Changes from Uncurated Videos"

object-detection-using-detectron2-by-facebook

The performance of three different object detection networks was evaluated using Detectron2, Facebook AI’s object detector library.

object-detection-using-hog-and-sliding-window-python-