{"id":113,"date":"2026-08-07T13:12:22","date_gmt":"2026-08-07T13:12:22","guid":{"rendered":"https:\/\/aiss.mohdluqman.com\/?p=113"},"modified":"2026-09-11T13:55:58","modified_gmt":"2026-09-11T13:55:58","slug":"indicfairface","status":"publish","type":"post","link":"https:\/\/aiss.mohdluqman.com\/?p=113","title":{"rendered":"IndicFairFace"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li>We present IndicFairFace, a novel and balanced face dataset comprising 14,400 images representing geographical diversity of India. <\/li>\n\n\n\n<li>Images were sourced ethically from Wikimedia Commons and open-license web repositories and uniformly balanced across states and gender. <\/li>\n\n\n\n<li>Using IndicFairFace, we quantify intra-national geographical bias in prominent CLIP-based VLMs and reduce it using post-hoc Iterative Nullspace Projection debiasing approach. <\/li>\n\n\n\n<li>We also show that the adopted debiasing approach does not adversely impact the existing embedding space as the average drop in retrieval accuracy on benchmark datasets is less than 1.5 percent. <\/li>\n\n\n\n<li>Our work establishes IndicFairFace as the first benchmark to study geographical bias in VLMs for the Indian context.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-buttons alignwide is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-light-green-cyan-color has-vivid-red-background-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/github.com\/aarishshahmohsin\/IndicFairFace\">Dataset<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link has-light-green-cyan-color has-vivid-red-background-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/arxiv.org\/pdf\/2602.12659\"> Paper <\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-113","post","type-post","status-publish","format-standard","hentry","category-datasets"],"_links":{"self":[{"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/posts\/113","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=113"}],"version-history":[{"count":4,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/posts\/113\/revisions"}],"predecessor-version":[{"id":207,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=\/wp\/v2\/posts\/113\/revisions\/207"}],"wp:attachment":[{"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=113"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=113"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiss.mohdluqman.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}