Afaq Ahmad (@afaq-ahmad)
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afaq-ahmad

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1

Python-Application-for-Camera-OCR-then-text-to-speech

Python Application for to capture image using Camera then apply OCR to recognize the text,then text to speech audio
Python
12
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2

Traffic-Sign-Recognition--HSV-SVM--BelgiumTSC

Traffic sign recognition is an advanced driver assistance system which can recognize road signs and display the corresponding information in the vehicle. It consists of two parts, Sign Detection and Sign Classification. In detection we will detect the coordinates and size of sign board in the image and in classification we try to find that what this signal represent or what class this signal belongs. In our case there are eight classes of sign boards that need to classify they are shown below:
Jupyter Notebook
11
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3

Gender-and-Age-Detection-based-Customer-Tracking-Classification-on-Raspberry-pi

This algorithm tracks a person entering from a particular direction while his/her gender & age group are predicted & stored with the respective time of detection.
Python
10
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4

Table-Detection-using-Deep-Learning-FasterRCNN

Table Detection using Deep Learning FasterRCNN
Jupyter Notebook
9
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5

Car-Models-and-Make-Classification-Standford_Car_dataset-mobilenetv2-imagenet-93-percent-accuracy

Car Models and Make Classification Standford_Car_dataset mobilenetv2 imagenet 93 percent accuracy
Jupyter Notebook
7
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6

Madar-Animal-Detection-Raspberrypi-based-on-motion-and-color-with-pan-tilt-camera-movement

Madar Animal Detection Raspberrypi based on motion and color with pan tilt camera movement
Python
7
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7

PCA-SVM-Features-based-Face-Images-Classification

Face recognition on The Database of Faces at a glance. Data pre-processing. Dimension reduction using PCA. Support Vector Machines (For classification)
Jupyter Notebook
7
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8

Convolutional-Neural-Network-CNN-for-Text-Classification

Convolutional Neural Network (CNN) for Text Classification in different categories
Jupyter Notebook
6
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9

Multi-Model-Approach-for-Speak-and-text-image-Association-Prediction

Our task is to Recognize whether an image of a hand-written digit and a recording of a spoken digit refer to the same or different number. We have two input data written number image and number spoken sound MFCC features and one output consist of boolean array state that the respective sound and image matches or not. We choose multi model approach using LSTM for audio features and CNN for image data. The output of both model concatenated at the end and binary loss function applied.
Jupyter Notebook
6
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10

Web-Scraping-Practices

Done this work in a process of learning webscraping and data mining
Jupyter Notebook
5
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11

Assignment--Perceptron-Model-and-NN-as-XOR-Gate

Task 1: Perceptron Model for Binary Classes Classification, Task 2: Perceptron Model for 3-Classes Classification, Task 3: 3-Layer Neural Network like XOR Gate
Jupyter Notebook
5
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12

MNIST-English-handwritten-Digits-and-Cifar10-Classification

Human written styles vary person to person even for a single letter or a digit. But there is some similarity in those digits and some unique features that help human to understand it by visualizing different digits. In this we are performing these digits classification, so machine can learn from it and recognized unique features and layout of individual digits. We have applied Histogram-Of-Oriented-Gradients (HOG) and Local Binary Pattern (LBP) on the images to extract features of digits. We used Support vector machine (SVM), K-Nearest Neighbors (KNN) and Neural Network Supervised Algorithms for digits classification. All these algorithms have some pros and cons like time consumption, dataset length and Accuracy. We have received 98% accuracy of classification using Neural Network of 3 layers.
Jupyter Notebook
4
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13

SSD-Model-trained-for-Car-and-License-plate-Detection

SSD Model trained for Car and License plate Detection
Python
4
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14

Horse-and-Field-Detection-based-on-color-and-motion

The main task of this project is to detect the horse based on computer vision techniques. We have used different methods to find where the horse in field and finding the boundary of of barn area. The steps that are used in the code are explained below:
Jupyter Notebook
4
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15

Object-Detection-Pipeline-Helper

XML- Pascal voc to Text files/tf records,Testing frozen graph on images, Precision, Recall and mAP calculations, Confusion Matrix
Python
4
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16

Hotel-booking-demand-Case-Study

This notebook contains a series of exercises designed to explore a range of data science, python scripting, and quantitative reasoning skills. You can, in principle. solve these exercises using a number of different programming languages/environments, but it will likely be easiest for you to simply fill out this notebook with your solutions in the relevant sections following each exercise.
Jupyter Notebook
4
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17

Table-Data-Extraction-and-Heuristic-based-Structuring-using-GCP

Table Data Extraction and Heuristic based Structuring using GCP
Python
3
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18

k-Nearest-Neighbors-Classifier-for-Letters-concept-Ocr

k-Nearest Neighbors Classifier has been used because of its simplicity, fastness and efficiency. The problem with Neural Network based models DNN or CNN required a lot of data, but in out cases we have limited amount of data just around 3 thousand images of characters
Python
3
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19

Image-Classification-using-Multi-Class-weather-dataset-by-general-VGG-and-customize-VGG-model-keras

Multi-Class weather dataset for Classification task using general VGG and customize VGG model keras
Jupyter Notebook
3
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20

Machine-Learning-Assignments-from-scratch-Linear_Logistic_Polynomial-Regression-SVM-Kmeans-PCA

Machine Learning Assignments from scratch Linear_Logistic_Polynomial Regression SVM Kmeans PCA
Jupyter Notebook
3
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21

Object-Detection-Different-Annotations-Intra-Parser

Code for conversion to different types of Annotations
Jupyter Notebook
2
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22

Pharmacy-Medicines-detection-and-classification

Pharmacy Medicines detection and classification
Jupyter Notebook
2
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23

Object-Detection-Confusion-Matrix

Directly Calculate the object detection confusion matrix from tfrecords.
Python
2
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24

Twitter-tweets-scraper-Application-Selenium-pyqt5

Twitter tweets scraper Application Selenium pyqt5
Python
2
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25

Sentence-part-of-speech-and-dependency-Features-extraction

The code will take input of text files and find the Sentence part of speech and dependency Features extraction and save them in the csv file.
Python
1
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26

Dataset_101--Teeth_Marked_Images

Teeth Marked Images
1
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27

seq2seq-ocr-analysis-and-text-classification

Python
1
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28

Twitter-tweepy-Tweet-Scraping-and-making-work-of-cloud

Twitter tweepy Tweet Scraping and making work of cloud
Python
1
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29

Dataset_101--Bar_code_Images_Annotations

Bar code Images Annotations with polygon coordinates and Information included like Horizontal Barcode Integrity and Vertical Barcode Integrity
1
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30

Dataset_101--Guns_Pistol_Arms_Annotations

Dataset_101--Guns_Pistol_Arms_Annotations
1
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31

Cats-Dogs-Classification-using-Efficientnetb0-and-Flask-Deployment

Cats Dogs Classification using Efficientnetb0 and Flask Deployment
Python
1
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32

Dataset_101--Forms-Images-Annotations-of-checkbox_textbox_Radiobutton_Table

Forms Images Annotations with check box, text box Radio button and Table
1
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33

Image-Classification-of-categories-Building_forest_glacier_mountain_sea_street-using-keras

Image Classification of categories [Building, forest, glacier, mountain, sea, street]
Jupyter Notebook
1
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34

Dataset_101--Car_front_Engine_and_Instrument_Cluster_meter_Marked_Images

Car front, Engine and Instrument Cluster meter Annotated Images
1
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