{"id":31746,"date":"2024-11-30T04:28:54","date_gmt":"2024-11-30T03:28:54","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/looking-for-3d-successful-prints-dataset-sources\/"},"modified":"2024-11-30T04:28:54","modified_gmt":"2024-11-30T03:28:54","slug":"looking-for-3d-successful-prints-dataset-sources","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/looking-for-3d-successful-prints-dataset-sources\/","title":{"rendered":"Looking For 3D Successful Prints Dataset Sources"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Hello guys! We have a thesis proposal entitled: YOLOv10s in anomaly detection and classification in 3D Printing. Since we want to train our model for both images of 3d prints with defects and without defects, we already have dataset source for 3D Prints that have defects but we are having a problem with finding dataset for the one without defect or 3D prints that are successful. Anyone has the idea where we can look sources that has those images, if possible with annotations already. We already looked all throughout Kaggle and Roboflow. Thank you in advance!!<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/smg_nabi\"> \/u\/smg_nabi <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1h32vpg\/looking_for_3d_successful_prints_dataset_sources\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1h32vpg\/looking_for_3d_successful_prints_dataset_sources\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-31746 jlk' href='javascript:void(0)' data-task='like' data-post_id='31746' data-nonce='614a020375' 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-31746 lc'>0<\/span><\/a><\/div><\/div> <div class='status-31746 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Hello guys! We have a thesis proposal entitled: YOLOv10s in anomaly detection and classification in 3D Printing&#8230;.<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-31746","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\/31746","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"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=31746"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/31746\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=31746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=31746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=31746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}