{"url":"/dataset/banglalekha-isolated","name":"BanglaLekha-Isolated","full_name":null,"description_markdown":"This dataset contains Bangla handwritten numerals, basic characters and compound characters. This dataset was collected from multiple geographical location within Bangladesh and includes sample collected from a variety of aged groups. This dataset can also be used for other classification problems i.e: gender, age, district. \r\n\r\nSource: [BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset](/paper/banglalekha-isolated-a-comprehensive-bangla)","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/hf6sf8zrkc/2","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/banglalekha-isolated-a-comprehensive-bangla","title":"BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset","first_author":"Mithun Biswas","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"},{"name":"Optical Character Recognition (OCR)","url":"/task/optical-character-recognition","datasets_with_task":"/datasets/task/optical-character-recognition"},{"name":"Transfer Learning","url":"/task/transfer-learning","datasets_with_task":"/datasets/task/transfer-learning"},{"name":"Handwriting Recognition","url":"/task/handwriting-recognition","datasets_with_task":"/datasets/task/handwriting-recognition"}],"languages":[],"variants":["BanglaLekha Isolated Dataset","BanglaLekha-Isolated"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/handwriting-recognition-on-banglalekha","task":"Handwriting Recognition","dataset_variant":"BanglaLekha Isolated Dataset","rows":1,"metrics":["Accuracy","Cross Entropy Loss","Epochs"],"first_row_in_archive_order":{"model":"AKHCRNet","paper":"/paper/akhcrnet-bengali-handwritten-character","metrics":{"Accuracy":"96.8","Cross Entropy Loss":"0.21612","Epochs":"11"},"code_links":[{"title":"theroyakash/AKHCRNet","url":"https://github.com/theroyakash/AKHCRNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/transfer-learning-on-banglalekha-isolated","task":"Transfer Learning","dataset_variant":"BanglaLekha Isolated Dataset","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Chatterjee, Dutta et al.[1]","paper":"/paper/akhcrnet-bengali-handwritten-character","metrics":{"Accuracy":"96.12"},"code_links":[{"title":"theroyakash/AKHCRNet","url":"https://github.com/theroyakash/AKHCRNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/akhcrnet-bengali-handwritten-character","title":"AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning","date":"2020-08-29","rows_on_this_dataset":2,"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."}