{"url":"/dataset/gas","name":"GAS","full_name":"Grasp Area Segmentation","description_markdown":"**GAS (Grasp Area Segmentation)** dataset consists of 10089 RGB images of cluttered scenes grouped into 1121 grasp-area segmentation tasks. For each RGB image we provide a binary segmentation map with the graspable and non-graspable regions for every object in the scene. The dataset can be used for meta-training part-based grasp area estimation networks.\r\n\r\nFor creating the GAS dataset we use the RGB images and corresponding ground truth segmentation masks from the GraspNet 1-Billion dataset.","description_withheld":null,"homepage":"https://github.com/sudraj2002/fsgrasp","introduced_date":"2023-03-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/remote-task-oriented-grasp-area-teaching-by","title":"Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning","first_author":"Furkan Kaynar","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Few-Shot Semantic Segmentation","url":"/task/few-shot-image-segmentation","datasets_with_task":"/datasets/task/few-shot-image-segmentation"},{"name":"Grasp Contact Prediction","url":"/task/human-grasp-contact-prediction","datasets_with_task":"/datasets/task/human-grasp-contact-prediction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GAS"],"data_loaders":[],"num_papers_in_archive":3,"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."}