{"id":40469,"date":"2026-04-17T23:29:46","date_gmt":"2026-04-17T21:29:46","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-150k-annotated-stool-images-available-for-research-commercial-licensing\/"},"modified":"2026-04-17T23:29:46","modified_gmt":"2026-04-17T21:29:46","slug":"dataset-150k-annotated-stool-images-available-for-research-commercial-licensing","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-150k-annotated-stool-images-available-for-research-commercial-licensing\/","title":{"rendered":"[Dataset] 150k+ Annotated Stool Images \u2014 Available For Research\/commercial Licensing"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I&#8217;ve built what I believe is the largest annotated stool image dataset in existence (~150k+ photos) and I&#8217;m exploring whether to license it for research or commercial use. Posting here to gauge interest and get feedback before I decide how to distribute.<\/p>\n<p><strong>What&#8217;s in it<\/strong><\/p>\n<ul>\n<li><strong>Size:<\/strong> ~150,000 images (and growing)<\/li>\n<li><strong>Source:<\/strong> user submissions via {{iOS\/Android consumer app, real-world in-toilet photos}}<\/li>\n<li><strong>Resolution:<\/strong> {{typical resolution range, e.g. 1024\u00d71024 up to 4032\u00d73024}}<\/li>\n<li><strong>Diversity:<\/strong> {{geographic spread, device\/camera variation, lighting conditions, toilet\/water conditions}}<\/li>\n<\/ul>\n<p><strong>Annotations<\/strong> (per image)<\/p>\n<ul>\n<li>Bristol Stool Scale (type 1\u20137)<\/li>\n<li>{{color, consistency, volume estimate, blood\/mucus flags \u2014 list whatever you actually have}}<\/li>\n<li>{{any free-text notes, symptoms, or linked user-reported metadata like diet, hydration, medications}}<\/li>\n<li>Annotator: {{self-reported by user \/ reviewed by clinician \/ AI-assisted + human verified \u2014 be honest}}<\/li>\n<li>{{Inter-rater agreement or QA process, if any}}<\/li>\n<\/ul>\n<p><strong>Provenance &amp; compliance<\/strong><\/p>\n<ul>\n<li>Collected under {{Privacy Policy \/ ToS URL}} with explicit user consent for {{research use \/ model training}}<\/li>\n<li>{{PII stripped: no faces, no identifying EXIF, no filenames containing user IDs}}<\/li>\n<li>{{HIPAA status \u2014 usually not HIPAA since it&#8217;s a consumer app, not a covered entity, but state it clearly}}<\/li>\n<li>{{GDPR: EU users&#8217; data handled per &#8230; \/ excluded \/ anonymized}}<\/li>\n<li>Not sourced from clinical\/hospital settings \u2014 this is consumer-generated, in-the-wild data<\/li>\n<\/ul>\n<p><strong>What it&#8217;s useful for<\/strong><\/p>\n<ul>\n<li>Training classifiers for Bristol scale, blood detection, abnormality flags<\/li>\n<li>Gut health \/ GI apps, telehealth triage, IBD\/IBS monitoring research<\/li>\n<li>Benchmarking medical vision models on messy, non-clinical imagery<\/li>\n<\/ul>\n<p><strong>Licensing<\/strong><\/p>\n<ul>\n<li>Open to: {{non-exclusive research license \/ exclusive commercial license \/ per-sample pricing \/ academic free + commercial paid}}<\/li>\n<li>Can provide a {{small sample pack, e.g. 500 images}} under NDA for evaluation<\/li>\n<\/ul>\n<p><strong>DM or comment if interested<\/strong> \u2014 happy to answer questions about the schema, provide sample images, or discuss licensing terms.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/SamePersonality5183\"> \/u\/SamePersonality5183 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1soe4se\/dataset_150k_annotated_stool_images_available_for\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1soe4se\/dataset_150k_annotated_stool_images_available_for\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-40469 jlk' href='javascript:void(0)' data-task='like' data-post_id='40469' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-40469 lc'>0<\/span><\/a><\/div><\/div> <div class='status-40469 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I&#8217;ve built what I believe is the largest annotated stool image dataset in existence (~150k+ photos) and&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-40469","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/40469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=40469"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/40469\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=40469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=40469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=40469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}