{"id":17695594,"url":"https://github.com/priyapuranik/shoe-classification_using-cnn","last_synced_at":"2026-04-19T13:32:25.200Z","repository":{"id":259260780,"uuid":"850304721","full_name":"priyapuranik/Shoe-Classification_using-CNN","owner":"priyapuranik","description":"A deep learning project that classifies different types of shoes using Convolutional Neural Networks (CNNs) based on image data.","archived":false,"fork":false,"pushed_at":"2024-11-12T10:30:31.000Z","size":4555,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T23:43:55.489Z","etag":null,"topics":["cv2","deep-learning","keras","matplotlib-pyplot","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/priyapuranik.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-31T12:12:31.000Z","updated_at":"2024-11-12T10:30:35.000Z","dependencies_parsed_at":"2024-10-24T00:05:11.395Z","dependency_job_id":"c981e237-dde6-4209-ba72-9268fa1b6ecb","html_url":"https://github.com/priyapuranik/Shoe-Classification_using-CNN","commit_stats":null,"previous_names":["priyapuranik/shoe-classification_using-cnn"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyapuranik%2FShoe-Classification_using-CNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyapuranik%2FShoe-Classification_using-CNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyapuranik%2FShoe-Classification_using-CNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyapuranik%2FShoe-Classification_using-CNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/priyapuranik","download_url":"https://codeload.github.com/priyapuranik/Shoe-Classification_using-CNN/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246395572,"owners_count":20770240,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cv2","deep-learning","keras","matplotlib-pyplot","python","tensorflow"],"created_at":"2024-10-24T14:06:10.324Z","updated_at":"2026-04-19T13:32:25.149Z","avatar_url":"https://github.com/priyapuranik.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Shoe Classification using Convolutional Neural Network (CNN)\n\n## Overview\n\n**This project aims to classify different types of shoes using Convolutional Neural Networks (CNNs). The model is trained on a dataset of shoe images and is designed to accurately identify various shoe categories.** \u003cbr\u003e\n\n**--The model classifies images of three types of footwear: boots, sandals, and slippers.**\u003cbr\u003e\n\n**--Achieved an overall accuracy of 91% on the test set.**\u003cbr\u003e\n\n## Precision, recall, and F1-scores for each class are as follows: \u003cbr\u003e\n\n**a)Boots (0): Precision = 97%, Recall = 97%, F1-Score = 97%.** \u003cbr\u003e\n\n**b)Sandals (1): Precision = 86%, Recall = 92%, F1-Score = 89%.** \u003cbr\u003e\n\n**c)Slippers (2): Precision = 90%, Recall = 79%, F1-Score = 84%.** \u003cbr\u003e\n\n**The model was trained and tested on a dataset of 156 images, with balanced precision and recall for most classes.**\u003cbr\u003e\n\n***The purpose of this project is to develop a deep learning model capable of classifying different types of footwear, which can be used in e-commerce platforms or retail applications to automatically tag and categorize footwear images.***\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyapuranik%2Fshoe-classification_using-cnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpriyapuranik%2Fshoe-classification_using-cnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyapuranik%2Fshoe-classification_using-cnn/lists"}