{"url":"/dataset/lndst","name":"LNDST","full_name":null,"description_markdown":"The Landsat collection contains 400x400 RGB pictures captured by the Landsat 8 satellite. Each image might show areas of water and other areas that are just the background. Your task is to design a classifier that identifies each pixel as either 0 (background) or 1 (water), using integer values. For training, you'll receive the RGB images in jpg format along with a corresponding mask. In this mask, a '0' indicates the background, and a '1' indicates water. However, for testing, you'll only receive the RGB image without the mask.","description_withheld":null,"homepage":"https://www.aicrowd.com/challenges/ai-for-good-ai-blitz-3/problems/lndst","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["LNDST"],"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."}