{"url":"/dataset/minneapple","name":"MinneApple","full_name":null,"description_markdown":"**MinneApple** is a benchmark dataset for apple detection and segmentation. The fruits are labelled using polygonal masks for each object instance to aid in precise object detection, localization, and segmentation. Additionally, the dataset also contains data for patch-based counting of clustered fruits. The dataset contains over 41, 000 annotated object instances in 1000 images.\n\nSource: [https://github.com/nicolaihaeni/MinneApple](https://github.com/nicolaihaeni/MinneApple)\nImage Source: [https://github.com/nicolaihaeni/MinneApple](https://github.com/nicolaihaeni/MinneApple)","description_withheld":null,"homepage":"https://github.com/nicolaihaeni/MinneApple","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/minneapple-a-benchmark-dataset-for-apple","title":"MinneApple: A Benchmark Dataset for Apple Detection and Segmentation","first_author":"Nicolai Häni","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Head Detection","url":"/task/head-detection","datasets_with_task":"/datasets/task/head-detection"},{"name":"Inference Attack","url":"/task/inference-attack","datasets_with_task":"/datasets/task/inference-attack"}],"languages":[],"variants":["MinneApple"],"data_loaders":[{"repo":"https://github.com/nicolaihaeni/MinneApple","url":"https://github.com/nicolaihaeni/MinneApple","frameworks":["pytorch"]}],"num_papers_in_archive":16,"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."}