{"id":9,"date":"2026-05-09T04:56:37","date_gmt":"2026-05-09T04:56:37","guid":{"rendered":"https:\/\/barpheai.com\/?p=9"},"modified":"2026-05-09T04:56:37","modified_gmt":"2026-05-09T04:56:37","slug":"predicting-raisin-categories-using-computer-vision-data","status":"publish","type":"post","link":"https:\/\/barpheai.com\/?p=9","title":{"rendered":"Predicting Raisin Categories using Computer Vision Data"},"content":{"rendered":"<h2>Agricultural Produce Classification<\/h2>\n<p>Classifying agricultural products based on morphological features is a key step in automated quality control. In a TechGIG hackathon, the task was to classify raisins into two categories (Keci and Bes) based on 7 morphological features extracted from images.<\/p>\n<h2>Algorithm Selection<\/h2>\n<p>After testing Logistic Regression, CatBoost, XGBoost, and LightGBM, I constructed a sophisticated ensemble technique that leveraged the strengths of each model to handle the slight overlapping of features between the two raisin varieties.<\/p>\n<h2>Results<\/h2>\n<p>The ensemble model achieved high accuracy, securing the 14th rank out of 292 participants. This approach proves highly effective for tabular data derived from computer vision feature extraction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agricultural Produce Classification Classifying agricultural products based on morphological features is a key step in automated quality control. In a TechGIG hackathon, the task was to classify raisins into two categories (Keci and Bes) based on 7 morphological features extracted from images. Algorithm Selection After testing Logistic Regression, CatBoost, XGBoost, and LightGBM, I constructed a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-9","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"_links":{"self":[{"href":"https:\/\/barpheai.com\/index.php?rest_route=\/wp\/v2\/posts\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/barpheai.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/barpheai.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/barpheai.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/barpheai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9"}],"version-history":[{"count":0,"href":"https:\/\/barpheai.com\/index.php?rest_route=\/wp\/v2\/posts\/9\/revisions"}],"wp:attachment":[{"href":"https:\/\/barpheai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/barpheai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/barpheai.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}