{"url":"/dataset/daisee","name":"DAiSEE","full_name":null,"description_markdown":"DAiSEE is a multi-label video classification dataset comprising of 9,068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration \"in the wild\". The dataset has four levels of labels namely - very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists. \r\n\r\nSource: [DAiSEE: Towards User Engagement Recognition in the Wild](/paper/daisee-towards-user-engagement-recognition-in)","description_withheld":null,"homepage":"https://people.iith.ac.in/vineethnb/resources/daisee/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/daisee-towards-user-engagement-recognition-in","title":"DAiSEE: Towards User Engagement Recognition in the Wild","first_author":"Abhay Gupta","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"},{"name":"Multiple Instance Learning","url":"/task/multiple-instance-learning","datasets_with_task":"/datasets/task/multiple-instance-learning"},{"name":"Student Engagement Level Detection (Four Class Video Classification)","url":"/task/student-engagement-level-detection-four-class","datasets_with_task":"/datasets/task/student-engagement-level-detection-four-class"}],"languages":[],"variants":["DAiSEE"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/daisee-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":17,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/student-engagement-level-detection-four-class","task":"Student Engagement Level Detection (Four Class Video Classification)","dataset_variant":"DAiSEE","rows":3,"metrics":["4-class test accuracy"],"first_row_in_archive_order":{"model":"Hybrid EfficientNet B7 + Bi-LSTM","paper":"/paper/students-engagement-level-detection-in-online","metrics":{"4-class test accuracy":"67.48%"},"code_links":[{"title":"TasneemMohammed/Engagement-Detection-Using-Hybrid-EfficientNetB7-Together-With-TCN-LSTM-and-Bi-LSTM","url":"https://github.com/TasneemMohammed/Engagement-Detection-Using-Hybrid-EfficientNetB7-Together-With-TCN-LSTM-and-Bi-LSTM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/students-engagement-level-detection-in-online","title":"Students Engagement Level Detection in Online e-Learning Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM","date":"2022-09-26","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}