Ismail Siddiqui

Oct 31, 2022

Colorizing black and white Image using Convolution Neural Networks (Without GANs)

Contents : Overview. The Data and Processing. Loss Function. Loading Data Utility Callback Model Architecture Results Test Output Code Link Future Work Reference 1 — Overview: Image colorization is the process of assigning colors to a black and white (grayscale) image to make it more aesthetically appealing and perceptually meaningful. These are…

4 min read

Colorizing black and white Image using Convolution Neural Networks (Without GANs)

4 min read

Feb 1, 2022

Election Analysis (UP Election-2022)

Contents : Overview. The Data. Preprocessing. Brute Force Cleaning (All words) Minor Tuning (All words) Frequent Words(All words) Plots(All words) Brute Force Cleaning (Focus words) Plots(Focus words) Code Link Future Work. References. 1 — Overview: As there are on going Assembly Election in Uttar Pradesh (India), may news channels or agencies/news channels…

Analysis

5 min read

Analysis

5 min read

Sep 26, 2021

Low Light to High Light Image (Night Eye)

Contents : Overview. The Data and Proprocessing. Loss Function and Metrics. Loading Data. Utility Callback. Model Architecture. Results. Sample Test Output. Code Link Future Work. References. 1 — Overview: Low-light image enhancement is one of the most challenging tasks in computer vision, and it is actively researched and used to solve various…

Machine Learning

6 min read

Low Light to High Light Image (Night Eye)

Machine Learning

6 min read

Published in Analytics Vidhya

·Jul 1, 2021

Image Denoise

Contents : Overview About the Data. Loss Function. Performance Metrics. Loading Data Data preprocessing. Image Augmentation Artificial Noise Auto-Encoders UNETs RIDNETs Results. End-to-End pipeline. Sample Output. Deployment. APP Link Future Work. References. 1—Overview: Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic…

Machine Learning

10 min read

Machine Learning

10 min read

Published in Analytics Vidhya

·May 28, 2021

Sexual Harassment(Safe City) — Case Study

Contents : Overview About the Data. Selection of right performance metric. Exploratory Data Analysis. Data preprocessing. Vectorization and Feature Extraction Experimentation with different models. Results End-to-End pipeline. Sample Output. Deployment APP Link Future Work. References. 1 — Overview: Safe City is a dataset having Multi Class Label along with sexual complaint where…

Machine Learning

8 min read

Sexual Harassment(Safe City) — Case Study

Machine Learning

8 min read