datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SwissCrop25
SwissCrop25
A national benchmark dataset for operational crop mapping in Switzerland, providing Sentinel-2
time series, daily temperature data, and parcel-level crop type labels across seven growing
seasons (2019–2025).
Introduced in: SwissCrop25: A National Multi-Year Benchmark for Operational Crop Mapping
(TerraBytes II Workshop, ECCV 2026) — [Paper] [Code] [Team]
Highlights
Nationwide coverage of Switzerland (41,285 km²)
Seven growing seasons (2019–2025)
73… See the full description on the dataset page: https://huggingface.co/datasets/EOA-team/SwissCrop25.tea-app-selfies
Tea app selfies
This dataset contains selfies from the Tea app breach. Tea was an app that only allowed women to join and required users to submit both a selfie and a photograph of their ID before allowing entry.
This repository contains only the selfie images. ID photographs were filtered out before upload.
Contents
The dataset consists of approximately 6.7k JPEG files named with UUID-style filenames.
Intended use
This dataset may be useful for research into… See the full description on the dataset page: https://huggingface.co/datasets/trentmkelly/tea-app-selfies.tea-leaf-disease-dataset
Data
Image data is not versioned in this repository. Only manifests, audit outputs,
and fingerprints are tracked, which is enough to verify and rebuild the exact
partition used.
Layout
data/
raw/ TeaLeafBD release as downloaded (gitignored)
tea_leaf_clean/ intermediate build (gitignored)
Tea_leaf_dataset/ FINAL audited dataset (gitignored)
manifests/ tracked audit artifacts
teaLeafBD_disease_classification
Tealeafbd Disease Classification Classification
A dataset for image classification of Tealeafbd Disease Classification. The dataset contains 5,278 images across 7 classes: Brown Blight, Gray Blight, Green mirid bug, Healthy leaf, Helopeltis, Red spider, Tea algal leaf spot.
Images per class:
Brown Blight: 508
Gray Blight: 1,013
Green mirid bug: 1,282
Healthy leaf: 935
Helopeltis: 607
Red spider: 515
Tea algal leaf spot: 418
This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/teaLeafBD_disease_classification.CS-D_tea_leaf_disease_classification
Tea Leaf Disease Classification
A dataset for disease classification of tea leaves. The dataset contains 80,329 images across 6 classes: Blister_Blight, Brown_Blight, Healthy_leaves, Leaf_Red_Rust, Red_Spider_Mite, Tea_Mosquito_Bug.
Images per class:
Blister_Blight: 13,500
Brown_Blight: 13,500
Healthy_leaves: 12,829
Leaf_Red_Rust: 13,500
Red_Spider_Mite: 13,500
Tea_Mosquito_Bug: 13,500
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/CS-D_tea_leaf_disease_classification.tea-hypervectors
Cha Yi Tea Profiles in Lance Format
Dataset of loose-leaf teas for research and experiments in Hyperdimensional Computing (HDC).
The data is stored in Lance format, including normalized JPEG bytes and vetted
tea metadata.
Dataset description
This dataset contains 166 English-language loose-leaf tea profiles collected
from the public storefront of Maison de thé Cha Yi, a tea
vendor based in Gatineau, Quebec, Canada. It covers the store's Oolong, green,
white, black… See the full description on the dataset page: https://huggingface.co/datasets/prrao87/tea-hypervectors.tea_leaf_disease_classification_bangladesh
Tea Leaf Disease Classification Bangladesh
A dataset for disease classification of tea leaves. The dataset contains 3,960 images across 4 classes: Healthy, Tea leaf blight, Tea red leaf spot, Tea red scab.
Images per class:
Healthy: 2,270
Tea leaf blight: 509
Tea red leaf spot: 561
Tea red scab: 620
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bormon2025high,
title={High-resolution dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tea_leaf_disease_classification_bangladesh.tea_leaf_disease_classification
Tea Leaf Disease Classification
A dataset for disease classification of tea leaves. The dataset contains 5,867 images across 6 classes: algal_spot, brown_blight, gray_blight, healthy, helopeltis, red_spot.Images per class:
algal_spot: 1,000
brown_blight: 867
gray_blight: 1,000
healthy: 1,000
helopeltis: 1,000
red_spot: 1,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{BALASUNDARAM2025103784… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tea_leaf_disease_classification.TealeafAgeQuality_detection
TeaLeafAgeQuality Detection
A dataset for detection of tea leaves. The dataset contains raw and augmented versions.
The raw split contains 2,208 images with 2,207 bounding box annotations across 4 categories.
The augmented split contains 5,740 images with 5,741 bounding box annotations across 4 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kabir2024tea,
title={Tea leaf age… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/TealeafAgeQuality_detection.Hibiscus_Tea_disease_classification
Hibiscus Tea Disease Classification
A dataset for disease classification of Hibiscus and Tea leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,411 images.Images per class:
Tea Algal Spot: 54
Tea Brown Blight: 48
Citruspot: 150
Early_Mild_Spotting: 83
Fungal_Infected: 28
Tea Grey Blight: 53
Healthy: 473
Mild_Edge_Damage: 226
Tea Red Spot: 44
Senescent: 40
Slightly_Diseased: 109
Wrinkled_Leaf: 55
The augmented dataset contains 12,417… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Hibiscus_Tea_disease_classification.