datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SWiM-SpacecraftWithMasks
SWiM: Spacecraft With Masks
A large-scale instance segmentation dataset of nearly 64k annotated spacecraft images created using real spacecraft models, superimposed on a mixture of real and synthetic backgrounds generated using NASA's TTALOS pipeline. To mimic camera distortions and noise in real-world image acquisition, we added different types of noise and distortion.
Dataset Summary
The dataset contains over 63,917 annotated images with instance masks for varied… See the full description on the dataset page: https://huggingface.co/datasets/RiceD2KLab/SWiM-SpacecraftWithMasks.Anime-Background-Finetuning-V1.1
Anime-Background-Finetuning (10143 manually curated by hand images from danbooru and reddit collections)
The dataset contain roughly 2k of anime Screencap data and 8k of scrapped danbooru illustration data.
This is the proccessed version of the dataset meant to be used for my personal finetuning practice project, please visit my RicemanT/Background-Finetuning repo for the raw unprocessed data that you can process yourself.
The dataset have two minor type of processing being done… See the full description on the dataset page: https://huggingface.co/datasets/RicemanT/Anime-Background-Finetuning-V1.1.rice-disease-datasetThis is the dataset for my project of Plant Diagnosis Suite at here. You can check out to see a Disease Detector trained on this dataset
Vietnamese Rice Disease & Crop Recommendation Dataset
An agricultural AI dataset collected in Vietnam, containing 37,978 rice plant images across 21 classes (diseases, pests, nutrient deficiencies, healthy) — for image classification.
Dataset Summary
Component
Type
Samples
Classes
Task
Rice Disease Images
Image (JPG)
37,978… See the full description on the dataset page: https://huggingface.co/datasets/minhhungg/rice-disease-dataset.ricemaize
🌾 Rice & Maize Crop Disease & Pest Detection Dataset
A comprehensive dataset containing 29,052 images for Rice and Maize crop health monitoring, disease identification, and pest detection.
📊 Dataset Structure
1. Maize (maize/) — 10,445 Images (9 Classes)
Diseases: Common Rust, Gray Leaf Spot, Northern Leaf Blight, Ear Rot
Healthy: Healthy Maize
Pests: Fall Armyworm, Stem Borer, Corn Borer, Army Worm
2. Rice (rice/) — 18,607 Images… See the full description on the dataset page: https://huggingface.co/datasets/shanmuga12234/ricemaize.MMST-ViT-Inspired_Rice_Production_Prediction_DatasetMost of the files are readyily downloadable and applicable to the code without modifications. However, due to the large size of unprocessed Sentinel-2 pretraining and fine-tuning folders, they have been split by year.
To run the code without modifying root directory paths, the Sentinel-2_Pretrain files should be renamed to their respective years (as shown below). They should be then included as subfolders within a parent folder named 'Pretrain_Sentinel2_Data'.
'Seninel-2_Pretrain_2017' ->… See the full description on the dataset page: https://huggingface.co/datasets/iustinr/MMST-ViT-Inspired_Rice_Production_Prediction_Dataset.rice-quality-assessment-qwen-vlrice_leaf_disease_classification
Rice Leaf Disease Classification
A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.Images per class:
Bacterial_Leaf_Blight: 636
Brown_Spot: 646
Healthy_Rice_Leaf: 653
Leaf_Blast: 634
Leaf_Scald: 628
Sheath_Blight: 632
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification.rice_leaf_disease_classification_india
Rice Leaf Disease Classification India
A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.Images per class:
Bacterialblight: 1,584
Blast: 1,440
Brownspot: 1,600
Tungro: 1,308
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sethy2020deep,
title={Deep feature based rice leaf disease identification using… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.weedy_rice_segmentation
Weedy Rice Segmentation
A dataset for semantic segmentation of weedy rice. The dataset contains 734 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{nguyen2025dataset,
title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/weedy_rice_segmentation.pnp_ricecookerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Stretch",
"total_episodes": 40,
"total_frames": 14370,
"total_tasks": 2,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AnranZZ/pnp_ricecooker.ICW
Individual Cats in the Wild (ICW)
ICW is an identity-disjoint benchmark for individual cat identification in
unconstrained images. It contains 82,791 JPEG images of 19,877 individual
cats, collected from six public adoption and rescue platforms and curated for
fine-grained recognition and image retrieval research.
ICW accompanies the MeowID project:
MeowID: A Dual-Expert Retrieval System for Individual Cat Identification
Zhangchi Hu, Yi Shang, Haocheng Yang, Qiwei Hu, and… See the full description on the dataset page: https://huggingface.co/datasets/RicePasteM/ICW.RiceCCThe official dataset of An Overall Real-Time Mechanism for Classification and Quality Evaluation of Rice at AAAI 2026 Workshop AgriAI.
2026.01.15: The codes of RiceCC can be found at here.
If you find this helpful, please consider cite:
@misc{xia2025overallrealtimemechanismclassification,
title={An Overall Real-Time Mechanism for Classification and Quality Evaluation of Rice},
author={Wanke Xia and Ruoxin Peng and Haoqi Chu and Xinlei Zhu and Zhiyu Yang and Yiting Zhao and Lili… See the full description on the dataset page: https://huggingface.co/datasets/xwk25/RiceCC.open_the_ricecooker_pi_liberoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Stretch",
"total_episodes": 32,
"total_frames": 10000,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AnranZZ/open_the_ricecooker_pi_libero.Dhan-Shomadhan_rice_leaf_disease_classification
Dhan Shomadhan Rice Leaf Disease Classification
This dataset provides real-world RGB images of rice leaves affected by multiple disease symptoms, captured under natural agricultural conditions. It offers a practical resource for developing and evaluating computer vision models in agricultural disease detection and monitoring applications. The dataset contains 1,106 images across 8 classes: Brown Spot, Browon Spot, Leaf Scaled, Rice Blast, Rice Tungro, Rice Turgro, Shath Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Dhan-Shomadhan_rice_leaf_disease_classification.RiceSEG
RiceSEG
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms.
1.Downloads
You can find RiceSEG files in “files and versions” and download them to the specified directory.
2.Dataset Structure
The folder is divided into five countries, and each country folder has a corresponding regional subdataset, details of which can be… See the full description on the dataset page: https://huggingface.co/datasets/PheniX-Lab/RiceSEG.open_the_ricecooker_and_put_food_inside_lerobot_v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "Stretch",
"total_episodes": 32,
"total_frames": 10000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null… See the full description on the dataset page: https://huggingface.co/datasets/AnranZZ/open_the_ricecooker_and_put_food_inside_lerobot_v3.rice_leaf_disease_datasetrice_variety_classification_bangladesh
Rice Variety Classification Bangladesh
A dataset for image classification of rice varieties.The raw dataset contains 19,000 images, with 500 per class.The augmented dataset contains 76,000 images, with 2,000 per class.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{tahsin2024extensive,
title={An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_variety_classification_bangladesh.Rice_Leaf_DatasetBasmati_rice_seed_varitey_classification
Basmati Rice Seed Varitey Classification
A dataset for variety classification of Basmati Rice Seeds. The dataset contains 3,210 images across 11 classes: 1121, 1509, 1637, 1718, 1728, BAS_370, CSR_30, DHBT_3, PB1, PB_6, Unknown.Images per class:
1121: 250
1509: 250
1637: 250
1718: 250
1728: 250
BAS_370: 250
CSR_30: 250
DHBT_3: 250
PB1: 250
PB_6: 250
Unknown: 710
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Basmati_rice_seed_varitey_classification.Rice_Diagnosis_Leaf_Images_FromKaggle
AutoTrain Dataset for project: rice_diagnosis
Dataset Description
This dataset has been automatically processed by AutoTrain for project rice_diagnosis.
Originally from Kaggle, this shows rice leaves (leaf) up close pictures labeled with the disease of which they show symptoms.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image":… See the full description on the dataset page: https://huggingface.co/datasets/Solshine/Rice_Diagnosis_Leaf_Images_FromKaggle.logo-union
imagenes logo del real union tenerife
license: other
Rice-Leaf-Disease
annotations_creators:
found
language: []
language_creators:
other
license: []
multilinguality: []
pretty_name: Rice-Leaf-Disease
size_categories:
1K<n<10K
source_datasets:
original
tags:
'''Rice'', ''Leaf'', ''Disease'''
task_categories:
image-classification
task_ids:
multi-class-image-classification
rice_panicle_detection
Rice Panicle Detection
A dataset for detection of rice panicles. The dataset contains raw and augmented versions.
The raw split contains 2,193 images with 40,672 bounding box annotations across 1 category.
The augmented split contains 5,701 images with 122,222 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{rashid2023comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_panicle_detection.rice-image-dataset
Dataset Card for Rice Image Dataset
Dataset Summary
Rice Image Dataset
DATASET: https://www.muratkoklu.com/datasets/
Citation Request: See the articles for more detailed information on the data.
Koklu, M., Cinar, I., & Taspinar, Y. S. (2021). Classification of rice varieties with deep learning methods. Computers and Electronics in Agriculture, 187, 106285. https://doi.org/10.1016/j.compag.2021.106285
Cinar, I., & Koklu, M. (2021). Determination of Effective and Specific… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/rice-image-dataset.HumayDrone-Rice-ImagesriceLeafDatasetrice_disease_classification_bangladesh
Rice Disease Classification
A dataset for image classification of Rice Disease. The dataset contains raw and augmented versions.The raw dataset contains 2,769 images.Images per class:
Healthy: 603
Insect: 281
Leaf Scald: 421
Rice: 16
Rice Blast: 696
Rice Leaffolder: 247
Rice Stripes: 266
Rice Tungro: 239
The augmented dataset contains 18,536 images.Images per class:
Healthy: 3,995
Insect: 2,084
Leaf scald: 2,619
Rice: 128
Rice Blast: 4,450
Rice Leaffolder: 1,658
Rice Stripes:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_disease_classification_bangladesh.Kashmiri-Rice-Seeds
RiceNet Dataset: High-Quality Image Dataset for Rice Variety Classification
Overview
The RiceNet Dataset is a meticulously curated collection of rice grain images designed to facilitate the classification of five distinct rice varieties using deep learning techniques. This dataset underpins the RiceNet model, a Deep Convolutional Neural Network (DCNN) architecture developed to enhance the accuracy of rice variety identification, addressing challenges in agriculture and… See the full description on the dataset page: https://huggingface.co/datasets/darrayes/Kashmiri-Rice-Seeds.RiceBlast-Lesion-Segmentation
RiceBlast Lesion Segmentation Dataset(Preview)
This repository provides a preview subset of a rice leaf dataset, including instance-level leaf segmentation and semantic annotation of blast lesions. It is part of our ongoing research paper RBNet.
Status
The associated manuscript is currently under peer review.
The full dataset (including the complete image set, full annotations, and additional metadata) will be released upon paper acceptance.
File structure
.… See the full description on the dataset page: https://huggingface.co/datasets/little-king/RiceBlast-Lesion-Segmentation.