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Crop Classification datasets

archive 2025-07-28

5 datasets carry the task tag "Crop Classification" (the task itself: Crop Classification), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Crop Classification 5

Crop Classification datasets 1–5 of 5

CropAndWeed
The CropAndWeed dataset is focused on the fine-grained identification of 74 relevant crop and weed species with a strong emphasis on data variability.
ImagesObject DetectionSemantic SegmentationDomain AdaptationInstance SegmentationFine-Grained Image ClassificationPanoptic Segmentation+5 tasks
10 papers · 0 benchmarks
EuroCrops
EuroCrops is a dataset for automatic vegetation classification from multi-spectral and multi-temporal satellite data, annotated with official LIPS reporting data from countries of the European Union, curated by the Technical University of…
Hyperspectral imagesCrop Classification
3 papers · 0 benchmarks
SICKLE (Satellite Imagery for Cropping annotated with Keyparameter LabEls)
The availability of well-curated datasets has driven the success of Machine Learning (ML) models.
ImagesEnvironmentTime seriesSuper-Resolution2D Semantic SegmentationPanoptic SegmentationMulti-Task LearningSynthetic Data GenerationCrop Classification+7 tasks
1 paper · 1 benchmark
SemanticSugarBeets
SemanticSugarBeets, a novel and high-quality dataset containing 953 monocular RGB images and 2920 annotations of sugar beets, enables a wide range of learning tasks including object detection, semantic segmentation, instance segmentation…
ImagesObject DetectionSemantic SegmentationInstance SegmentationPanoptic SegmentationMulti-Task LearningCrop Classification+3 tasks
1 paper · 0 benchmarks
Sen4AgriNet (A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning)
A Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning.
ImagesSemantic SegmentationTime Series AnalysisCrop Classification
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.