datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NCT-CRC-HE
100,000 histological images of human colorectal cancer and healthy tissue
Data Description "NCT-CRC-HE-100K"
This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abstract/document/5193250/, DOI… See the full description on the dataset page: https://huggingface.co/datasets/Varsha-Y12/NCT-CRC-HE.SapBark_64_variety_classification
Sapbark 64 Variety Classification
A dataset for variety classification of sapling bark of fruit trees. The dataset contains 5,815 images across 64 classes.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{alizadeh2025sapbark,
title={SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes},
author={Alizadeh, Sayyad and Shamsi, Hamed},
journal={Data in Brief},
pages={112354}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/SapBark_64_variety_classification.citrus_fruit_variety_classification
Citrus Fruit Variety Classification
A dataset for variety classification of citrus fruits. The dataset contains raw and augmented versions.The raw dataset contains 1,379 images.Images per class:
murcott: 280
ponkan: 328
tangerine: 400
tankan: 371
The augmented dataset contains 7,584 images.Images per class:
murcott: 1,540
ponkan: 1,803
tangerine: 2,200
tankan: 2,041
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/citrus_fruit_variety_classification.BananaImageBD_variety_classification
BananaImageBD Variety Classification
A dataset for variety classification of bananas. The dataset contains raw and augmented versions.The raw dataset contains 2,471 images.Images per class:
Bangla Kola: 444
Champa Kola: 994
Sabri Kola: 509
Sagor Kola: 524
The augmented dataset contains 7,413 images.Images per class:
Bangla Kola: 1,332
Champa Kola: 2,982
Sabri Kola: 1,527
Sagor Kola: 1,572
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/BananaImageBD_variety_classification.mangifera2012_variety_classification
Mangifera2012 Variety Classification
A dataset for variety classification of mangoes. The dataset contains 2,012 images across 10 classes:Images per class:
Amrapali: 252
Bari-4: 235
Bari-7: 176
Fazlee: 156
Harivanga: 202
Kanchon Langra: 210
Katimon: 163
Langra: 202
Mollika: 221
Nilambori: 195
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bharati2025comprehensive,
title={A comprehensive image… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/mangifera2012_variety_classification.MangoClassify-12_variety_classification
MangoClassify 12 Variety Classification
A dataset for variety classification of common mangoes. The dataset contains 3,900 images across 12 classes:Images per class:
Amrapali: 600
Banana: 212
Bari 4: 240
Fazli: 120
GobindoBhog: 41
GopalBhog: 406
Harivanga: 575
Himsagar: 502
Khrishapat: 380
Langra: 506
RaniBhog: 92
Sundari: 226
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{rahman2025mangoclassify… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MangoClassify-12_variety_classification.OTTAWA-VARSPEED-perception
Roles
Roles: perception view of OTTAWA-VARSPEED — annot is the source label (ball / combined / healthy / inner_race / outer_race), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the repo ships a variable-speed bearing's vibration in four image encodings as four equal-sized configs — reshaped (consecutive samples arranged as the rows of a grayscale square), scalogram (a continuous-wavelet time-scale view), spectrogram… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/OTTAWA-VARSPEED-perception.OTTAWA-VARSPEED
Roles
Roles: canon repo — annot is the source label, kept machine-parseable as the gold for verification and reward parsing; there is no filled reasoning column and this repo is not itself a training view. Derived repos each state their own regime on their own card.
Ottawa variable-speed bearing — race damage from the order spectrum (reasoning track)
Part of the AI4Manufacturing FORGE corpus (Category C, task T-C1), and the corpus's first dataset recorded under… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/OTTAWA-VARSPEED.ICPTC_pistachio_tree_variety_classification
ICPTC Pistachio Tree Variety Classification
A dataset for variety classification of pistachio trees. The dataset contains 526 images across 4 classes: J, L, R, S.Images per class:
J: 117
L: 129
R: 109
S: 171
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{heidary2021icptc,
title={ICPTC: Iranian commercial pistachio tree… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ICPTC_pistachio_tree_variety_classification.WaterHyacinth_variety_classification
WaterHyacinth Variety Classification
A dataset for variety classification of Water Hyacinth species. The dataset contains raw and augmented versions.The raw dataset contains 1,790 images.Images per class:
Common Duckweeds (Lemna minor): 390
Common Water Hyacinth (Eichornia crassipes): 470
Heartleaf False Pickerelweed (Monochoria korsakowii): 450
Water Lettuce (Pistia stratiotes): 480
The augmented dataset contains 4,050 images.Images per class:
Common Duckweeds (Lemna minor):… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/WaterHyacinth_variety_classification.banana_variety_classification
Banana Variety Classification
A dataset for variety classification of bananas. The dataset contains raw and augmented versions.The raw dataset contains 1,166 images.Images per class:
Anaji: 209
Bichi: 182
Champa: 136
Deshi: 237
Shagor: 239
Shobri: 163
The augmented dataset contains 6,000 images.Images per class:
Anaji: 1,000
Bichi: 1,000
Champa: 1,000
Deshi: 1,000
Shagor: 1,000
Shobri: 1,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_variety_classification.rice_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.mandarin_leaf_variety_classification
Mandarin Leaf Variety Classification
A dataset for variety classification of Mandarin leaves. The dataset contains augmented and raw versions.
The augmented dataset contains 8,032 images.
Images per class:
China Mishti: 2,032
Darjeling: 2,000
Mendaring: 2,000
Nagpuri: 2,000
The raw dataset contains 1,917 images.
Images per class:
China Mishti: 511
Darjeling: 500
Mandaring: 540
Nagpuri: 366
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/mandarin_leaf_variety_classification.Basmati_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.PaddyVarietyBD_variety_classification
PaddyVarietyBD Variety Classification
A dataset for variety classification of rice kernels. The dataset contains raw and augmented versions.The raw dataset contains 14,000 images.Images per class:
BD70: 400
Bd30: 400
Bd33: 400
Bd34: 400
Bd49: 400
Bd51: 400
Bd52: 400
Bd56: 400
Bd57: 400
Bd72: 400
Bd75: 400
Bd76: 400
Bd79: 400
Bd85: 400
Bd87: 400
Bd91: 400
Bd93: 400
Bd95: 400
Binadhan07: 400
Binadhan08: 400
Binadhan10: 400
Binadhan11: 400
Binadhan12: 400
Binadhan14: 400… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PaddyVarietyBD_variety_classification.OTTAWA-VARSPEED-annotated
Roles
Roles: reasoning view of OTTAWA-VARSPEED — annot is the source label (combined / healthy / inner_race), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the image is an ORDER spectrum, whose axis counts events per shaft revolution. The reasoning column is filled on all 35 records and is the SFT imitation target for this repo; the query enumerates the closed set of labels the answer must come from, and annot… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/OTTAWA-VARSPEED-annotated.tropical_flower_variety_classification
Tropical Flower Variety Classification
A dataset for variety classification of tropical flowers. The dataset contains 4,319 images across 7 classes: Bougainvillea, Crown of thorns, Hibiscus, Jungle geranium, Madagascar periwinkle, Marigold, Rose.Images per class:
Bougainvillea: 580
Crown of thorns: 583
Hibiscus: 548
Jungle geranium: 698
Madagascar periwinkle: 366
Marigold: 717
Rose: 827
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tropical_flower_variety_classification.BDMediLeaves_variety_classification
BDMediLeaves Variety Classification
A dataset for variety classification of common medicinal plants. The dataset contains raw and augmented versions.The raw dataset contains 2,048 images.Images per class:
azadirachta-indica: 205
calotropis-gigantea: 233
centella-asiatica: 201
hibiscus-rosa-sinensis: 214
justicia-adhatoda: 200
kalanchoe-pinnata: 229
mikania-micrantha: 201
ocimum-tenuiflorum: 151
phyllanthus-emblica: 200
terminalia-arjuna: 214
The augmented dataset contains 38… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/BDMediLeaves_variety_classification.fruit_leaf_variety_classification
Fruit Leaf Variety Classification
A dataset for variety classification of fruit leaves. The dataset contains 3,173 images across 10 classes: Aegle marmelos, Black plum, Custard Apple, Guava, Jackfruit, Lotkon, Lychee, Mango, Plum, Star Fruit.Images per class:
Aegle marmelos: 336
Black plum: 304
Custard Apple: 304
Guava: 325
Jackfruit: 311
Lotkon: 306
Lychee: 312
Mango: 330
Plum: 302
Star Fruit: 343
This dataset is indexed on https://project-agml.github.io/ as part of the AgML… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/fruit_leaf_variety_classification.ACHENY_variety_classification
ACHENY Variety Classification
A dataset for variety classification of Chenopod. The dataset contains 27,030 images across 30 classes:Images per class:
AnaHau: 769
AnaSet: 1,282
AtrCan: 722
AtrLen: 1,338
AtrLeu: 629
CerAre: 807
CheAlb: 652
CorMon: 1,098
GirOpp: 310
HalAmm: 929
HalBel: 628
HalPer: 1,160
HalStr: 848
HalSub: 967
HamSal: 1,191
KocSco: 910
KocSte: 851
SalAba: 733
SalDen: 1,461
SalInc: 1,160
SalKal: 300
SalKer: 904
SalPra: 929
SalTom: 969
SalTur: 979
SalYaz: 1,049… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ACHENY_variety_classification.MH_Weed16_weed_variety_classification
MH Weed16 Weed Variety Classification
A dataset for variety classification of weeds. The dataset contains 19,141 images across 16 classes:Images per class:
Asian_Pigeonwings_(Clitoria Ternatea): 678
Bilayat_(Mexicana_Argemone): 859
Choti_dudhi_(Euphorbia_hirta): 580
Digitaria_SP_(Digitaria Sanguinalis ): 1,561
Dwarf_cassia_(Chamaecrista pumila): 1,306
Gajar_gavat_(Parthenium hysterophorus): 1,543
Graceful_Sandmart_(Euphorbia hypericifolia): 262
Harali_(Cynodon_dactylon): 709… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MH_Weed16_weed_variety_classification.soybean_variety_classification
Soybean Variety Classification
A dataset for variety classification of Soybean seeds. The dataset contains 12,683 images across 3 classes: Anjasmoro, Dega, Grobogan.Images per class:
Anjasmoro: 3,493
Dega: 4,490
Grobogan: 4,700
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{hanafiah2026open,
title={An Open Image Dataset of Indonesian Soybean Seed Varieties (Anjasmoro, Grobogan, DEGA-1) for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/soybean_variety_classification.grape_variety_classification
Grape Variety Classification
A dataset for variety classification of Grape leaves. The dataset contains 8,000 images across 8 classes:Images per class:
Aswud Balad: 1,000
Deas Al-Annz: 1,000
Frinsi: 1,000
Halawani: 1,000
Kamali: 1,000
Riasi: 1,000
Shdah: 1,000
Thompson Seedless: 1,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{al2023image,
title={Image dataset of important grape varieties in… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grape_variety_classification.date_grade_variety_classification
Date Grade Variety Classification
A dataset for image classification of dates. The dataset contains augmented and raw versions.
The augmented dataset contains 19,229 images.
Images per class:
grade-1: 11,724
grade-2: 3,977
grade-3: 3,528
The raw dataset contains 3,004 images.
Images per class:
grade-1: 1,784
grade-2: 693
grade-3: 527
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{maitlo2024novel… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/date_grade_variety_classification.country-flags-variations
Country Flag Variations (Flux 2-dev, image-verified)
Synthetic flag images generated with Flux 2-dev from the prompt
"The national flag of {country}", then filtered by a strict
image-to-image verification against official reference flags.
Dataset summary
71 countries, 1395 images
Each country has 15-20 verified images (originally 20 per country;
images that disagreed with the reference flag were removed)
Split: per-country 80 / 20 train/val (deterministic by sorted seed)… See the full description on the dataset page: https://huggingface.co/datasets/tokeron/country-flags-variations.rice_grain_variety_classification
Rice Grain Variety Classification
A dataset for variety classification of rice grains. The dataset contains raw and augmented versions.The raw dataset contains 4,730 images.Images per class:
Amon: 250
BR28: 230
BR29: 233
Bashful: 252
Bashmoti: 230
Chinigura_Polao: 237
Ganjiya: 233
Gutisharna: 256
Jirashail: 231
Katari_Polao: 242
Katarivog: 233
Lal_Aush: 231
Lal_Binni: 232
Lal_Biroi: 231
Najirshail: 231
Paijam: 234
Red_Cargo: 240
Shampakatari: 234
Shorna5: 238
Subol_Lota: 232… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_grain_variety_classification.papas-nativas-peru-83-variedades
Papas Nativas Peruanas — 83 Variedades (UNSAAC 2024)
Colección de imágenes de 83 variedades de papas nativas peruanas para clasificación visual mediante modelos de visión computacional.
Descripción del dataset
Dataset recopilado de forma colaborativa por estudiantes de Ingeniería Informática de la Universidad Nacional de San Antonio Abad del Cusco (UNSAAC) en el curso de Aprendizaje Automático (2024).
Las imágenes fueron capturadas en condiciones variadas (distintos… See the full description on the dataset page: https://huggingface.co/datasets/ayayon/papas-nativas-peru-83-variedades.BDMANGO_variety_classification
Bdmango Variety Classification
A dataset for variety classification of mangos based on their leaves. The dataset contains raw and augmented versions.The raw dataset contains 837 images.Images per class:
Amrapali: 120
Banana: 167
Chaunsa: 150
Fazli: 160
Haribhanga: 120
Himsagar: 120
The augmented dataset contains 5,859 images.Images per class:
Amrapali: 840
Banana: 1,169
Chaunsa: 1,050
Fazli: 1,120
Haribhanga: 840
Himsagar: 840
This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/vamsi9751/BDMANGO_variety_classification.mulberry_leaf_variety_classification
Mulberry Leaf Variety Classification
A dataset for variety classification of mulberry leaves. The dataset contains 5,262 images across 10 classes: BlackAustralia, BlackOodTurkey, Buriram60, ChiangMai60, ChiangMaiBuriram60, Kamphaengsaeng42, RedKing, TaiwanMeacho, TaiwanStraberry, WhiteKing.Images per class:
BlackAustralia: 637
BlackOodTurkey: 500
Buriram60: 345
ChiangMai60: 500
ChiangMaiBuriram60: 761
Kamphaengsaeng42: 500
RedKing: 350
TaiwanMeacho: 640
TaiwanStraberry: 488… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/mulberry_leaf_variety_classification.banana_grade_variety_classification
Banana Grade Variety Classification
A dataset for image classification of Banana Grade Variety Classification. The dataset contains 31,678 images across 3 classes: EGS109, EG2S125, EG3S113.Images per class:
EGS109: 27
EG2S125: 55
EG3S113: 46
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{guru2025banana,
title={Banana bunch image and video dataset for variety classification and grading}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_grade_variety_classification.