image-feature-extraction

House price estimation from visual and textual features using both machine learning and deep learning models

The PIGRGB-Weight dataset consists of RGB images of pigs' backs captured in free-ranging conditions at two different heights (1.88m and 1.78m), all annotated with pig weight. This dataset supports research in pig weight estimation through image processing and machine learning.

Python version for extracting computational aesthetics features

ACO Feature Extraction

Successfully developed an image caption generation model which can precisely generate the text caption of any particular image based on a certain vocabulary of distinct words.

An amazon-like e-commerce platform built using MERN stack.

PSO LPQ Image Features

pistachio binary image classification

Image Classification, Image Feature Extraction, CNNs, Finetuning, Resnet18, Torchvision, Multi-Class Logistic Regression

applying SIFT and HOG to localize cropped pieces of text

Some common image feature extractor

Chain code feature generation for image processing

Match similar image features.

E-commerce is a growing field in Indian Economy and it is poised to revolutionize the way traditional shopping works. So, we are trying to make an e-commerce website similar to that of the leading e-commerce giant - Amazon. One of the distinctive features of this project is that we are trying to integrate image based search in our website. This …

The MVP provides automated fire risk assessment by extracting wildfire indicators—such as smoke, flame patterns, and thermal anomalies—from imagery, and presenting them in structured natural language analysis.

Prediction of gene expression patterns from histology images using deep learning derived features

Lane Detection with Image Feature Extraction Techniques 🚡

Map images to representation vectors.

Code and results for one-class autoencoder verification of historical sketches using handcrafted features (Fourier energy, Shannon entropy, contrast, GLCM homogeneity, fractal dimension) and deep feature baselines (ResNet50, EfficientNet-V2). Companion repository to Ugail et al., PLOS ONE (2026).