{"id":19143941,"url":"https://github.com/tom-doerr/intrinsic-image-popularity","last_synced_at":"2026-06-23T07:32:21.474Z","repository":{"id":106087985,"uuid":"326457924","full_name":"tom-doerr/Intrinsic-Image-Popularity","owner":"tom-doerr","description":null,"archived":false,"fork":false,"pushed_at":"2022-06-08T02:09:22.000Z","size":214164,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-02-14T08:49:27.332Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Shell","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/tom-doerr.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":"2021-01-03T17:04:13.000Z","updated_at":"2022-06-08T02:09:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"259628b5-17f2-4a4d-8791-e2852e3223d4","html_url":"https://github.com/tom-doerr/Intrinsic-Image-Popularity","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tom-doerr/Intrinsic-Image-Popularity","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tom-doerr%2FIntrinsic-Image-Popularity","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tom-doerr%2FIntrinsic-Image-Popularity/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tom-doerr%2FIntrinsic-Image-Popularity/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tom-doerr%2FIntrinsic-Image-Popularity/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tom-doerr","download_url":"https://codeload.github.com/tom-doerr/Intrinsic-Image-Popularity/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tom-doerr%2FIntrinsic-Image-Popularity/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34680620,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-23T02:00:07.161Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-09T07:33:08.010Z","updated_at":"2026-06-23T07:32:21.453Z","avatar_url":"https://github.com/tom-doerr.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Intrinsic image popularity Assessment\n\nThis is a PyTorch implementation of the paper [Intrinsic Image Popularity Assessment](https://arxiv.org/abs/1907.01985).\n\nThis work can quantitatively predict how much traction an image will get on Instagram. \n\nIt can help users to find the image that would be the most popular to the public.\n\nRun ```python test.py --image_path \u003cimage_path\u003e``` to evaluate the intrinsic image popularity of your photos on Instagram. \n\nThis is the [Online Demo](https://iipa.ngrok2.xiaomiqiu.cn) (unstable).\n\n### Dataset\nWe provide the dataset of popularity-discriminable image pairs by the form of \"shortcode\". You can download the images with the URL ```\"https://www.instagram.com/p/\u003cshortcode\u003e/media/?size=l\".``` \n\n*Note, some URLs may be invalid now.*\n\n### Citation\n```\n@inproceedings{ding2019intrinsic,\n  title={Intrinsic Image Popularity Assessment},\n  author={Ding, Keyan and Ma, Kede and Wang, Shiqi},\n  booktitle={ACM International Conference on Multimedia},\n  pages={1979--1987},\n  year={2019},\n  publisher={ACM}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftom-doerr%2Fintrinsic-image-popularity","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftom-doerr%2Fintrinsic-image-popularity","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftom-doerr%2Fintrinsic-image-popularity/lists"}