datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Coffee_leaves_sections_FO
Dataset Card for coffee_leaves_anomalib_2
This is a FiftyOne dataset with 35962 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/Coffee_leaves_sections_FO")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Coffee_leaves_sections_FO.autotrain-data-coffee-beans
AutoTrain Dataset for project: coffee-beans
Dataset Description
This dataset has been automatically processed by AutoTrain for project coffee-beans.
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": "<224x224 RGB PIL image>",
"feat_width": 224,
"feat_height": 224,
"target": 1,
"feat_xmin": 22,
"feat_ymin": 61… See the full description on the dataset page: https://huggingface.co/datasets/everycoffee/autotrain-data-coffee-beans.coffee-lamp
Synthetic Image-Classification Dataset
Synthetic image-classification dataset generated with stable diffusion
(zerogpu_sdxl_turbo) using text-to-image from class names + short descriptions.
Classes
Label
Images
background
20
coffee-mug
20
lamp
20
Layout
train/<label>/<label>.<id>.jpg
test/<label>/<label>.<id>.jpg
metadata.csv
Loading
from datasets import load_dataset
ds = load_dataset("imagefolder"… See the full description on the dataset page: https://huggingface.co/datasets/edgeimpulse/coffee-lamp.UIISThis dataset is proposed by the ICCV 2023 paper "WaterMask: Instance Segmentation for Underwater Imagery", specific parameters about the dataset can be viewed in the paper
The Underwater Image Instance Segmentation (UIIS) dataset contains 4,628 images with pixel-level annotations in seven categories used for the underwater instance segmentation task. The dataset is organized in MS COCO format and the annotation files and images for training and testing are in UDW files.
Updatae:… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeZongzi/UIIS.arabica_coffee_leaf_disease_classification
Arabica Coffee Leaf Disease Classification
A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma.Images per class:
Cerscospora: 7,681
Healthy: 18,983
Leaf_rust: 8,336
Miner: 16,978
Phoma: 6,571
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{jepkoech2021arabica,
title={Arabica coffee leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/arabica_coffee_leaf_disease_classification.coffee_rust_multispec_classification
Coffee Rust Multispec Classification
A dataset for image classification of Coffee Rust Multispec Classification. The dataset contains 1,120 images across 2 classes: NoRust, Rust.Images per class:
NoRust: 273
Rust: 847
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{arocatrujillo2025colombian,
title={Colombian coffee tree leaves multispectral images dataset},
author={Aroca-Trujillo, Jorge Luis… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/coffee_rust_multispec_classification.Brazilian_Coffee_Scenes
Dataset Card for "Brazilian_Coffee_Scenes"
Licensing Information
[CC BY-NC]
Citation Information
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
@inproceedings{penatti2015deep,
title = {Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?},
author = {Penatti, Ot{\'a}vio AB and Nogueira, Keiller and Dos Santos, Jefersson A},
year = 2015… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Brazilian_Coffee_Scenes.Coffee_leaves_rocole_FO
Dataset Card for coffee_rocole_patches
This is a FiftyOne dataset with 2329 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/Coffee_leaves_rocole_FO")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Coffee_leaves_rocole_FO.coffee-beans
Dataset Card for Beans
Dataset Summary
Coffee Beans Grading
Supported Tasks and Leaderboards
image-classification: Based on a coffee bean grading, the goal of this task is to grade single beans for clusterization.
Languages
Indonesia
Dataset Structure
Data Instances
A sample from the training set is provided below:
{
'image_file_path':… See the full description on the dataset page: https://huggingface.co/datasets/rasyidf/coffee-beans.coffee_bean_quality_classification
Coffee Bean Quality Classification
A dataset for quality classification of Coffee Beans. The dataset contains 464 images across 9 classes: A, AA, AAA, AB, Bits, Bulk, C, PB-I, PB-II.
Images per class:
A: 50
AA: 61
AAA: 50
AB: 50
Bits: 51
Bulk: 50
C: 51
PB-I: 51
PB-II: 50
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bj2025cbd,
title={CBD: Coffee Beans Dataset},
author={BJ, Bipin Nair and KM… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/coffee_bean_quality_classification.coffee_rocole_original_patches
Dataset Card for coffee_rocole_original_patches
This is a FiftyOne dataset with 700 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/coffee_rocole_original_patches")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/coffee_rocole_original_patches.autotrain-data-coffee-bean-quality
AutoTrain Dataset for project: coffee-bean-quality
Dataset Description
This dataset has been automatically processed by AutoTrain for project coffee-bean-quality.
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": "<224x224 RGB PIL image>",
"feat_width": 224,
"feat_height": 224,
"target": 1,
"feat_xmin": 42… See the full description on the dataset page: https://huggingface.co/datasets/everycoffee/autotrain-data-coffee-bean-quality.