datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AppleGrowthVision
Dataset Card for AppleGrowthVision
This is a FiftyOne dataset with 11,397
groups (21,407 samples) of apple orchard imagery.
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("Voxel51/AppleGrowthVision")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/AppleGrowthVision.flair
Federated Learning Annotated Image Repository (FLAIR): A large labelled image dataset for benchmarking in federated learning
FLAIR was published at NeurIPS 2022 (paper)
(Preferred) Benchmarking FLAIR is available in pfl-research (repo, paper).
The ml-flair repo contains a setup for benchmarking with TensorFlow Federated and notebooks for exploring data.
FLAIR is a large dataset of images that captures a number of characteristics encountered in federated learning (FL) and… See the full description on the dataset page: https://huggingface.co/datasets/apple/flair.apple_leaf_disease_classification
Apple Leaf Disease Classification
A dataset for image classification of Apple Leaf Disease Classification. The dataset contains 7,505 images across 3 classes: Alternaria, Apple_Mosaic, Healthy.Images per class:
Alternaria: 2,523
Apple_Mosaic: 2,523
Healthy: 2,459
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{yatoo2024indigenous,
title={An indigenous dataset for the detection and classification… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/apple_leaf_disease_classification.custard_apple_disease_classification
Custard Apple Disease Classification
A dataset for disease classification of custard apples. The dataset contains 8,226 images across 6 classes: Athracnose, Blank Canker, Diplodia Rot, Leaf spot on Leaves, Leaf spot on fruit, Mealy Bug.Images per class:
Athracnose: 1,075
Blank Canker: 1,780
Diplodia Rot: 1,645
Leaf spot on Leaves: 1,255
Leaf spot on fruit: 867
Mealy Bug: 1,604
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/custard_apple_disease_classification.