{"url":"/dataset/aitlas-benchmark-arena","name":"AiTLAS: Benchmark Arena","full_name":null,"description_markdown":"**AiTLAS: Benchmark Arena** is an open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).","description_withheld":null,"homepage":"https://github.com/biasvariancelabs/aitlas-arena","introduced_date":"2022-07-14","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT License","url":"https://github.com/biasvariancelabs/aitlas-arena/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["AiTLAS: Benchmark Arena"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}