Cargando…

Dry fruit image dataset for machine learning applications

Dry fruits are convenient and nutritious snacks that can provide numerous health benefits. They are packed with vitamins, minerals, and fibres, which can help improve overall health, lower cholesterol levels, and reduce the risk of heart disease. Due to their health benefits, dry fruits are an essen...

Descripción completa

Detalles Bibliográficos
Autores principales:	Meshram, Vishal, Choudhary, Chetan, Kale, Atharva, Rajput, Jaideep, Meshram, Vidula, Dhumane, Amol
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Data Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333426/ https://www.ncbi.nlm.nih.gov/pubmed/37441626 http://dx.doi.org/10.1016/j.dib.2023.109325

Ejemplares similares

FruitNet: Indian fruits image dataset with quality for machine learning applications
por: Meshram, Vishal, et al.
Publicado: (2021)

A comprehensive dataset of damaged banknotes in Indian currency (Rupees) for analysis and classification
por: Meshram, Vidula, et al.
Publicado: (2023)

Dataset of Indian and Thai banknotes with annotations
por: Meshram, Vidula, et al.
Publicado: (2022)

Sen-2 LULC: Land use land cover dataset for deep learning approaches
por: Sawant, Suraj, et al.
Publicado: (2023)

Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications
por: Kumar R, Arun, et al.
Publicado: (2021)

Mint leaves: Dried, fresh, and spoiled dataset for condition analysis and machine learning applications
por: Jadhav, Rohini, et al.
Publicado: (2023)

Dataset of road surface images with seasons for machine learning applications
por: Bhutad, Sonali, et al.
Publicado: (2022)

VegNet: Dataset of vegetable quality images for machine learning applications
por: Suryawanshi, Yogesh, et al.
Publicado: (2022)

DeepFruit: A dataset of fruit images for fruit classification and calories calculation
por: Latif, Ghazanfar, et al.
Publicado: (2023)

Dataset of cannabis seeds for machine learning applications
por: Chumchu, Prawit, et al.
Publicado: (2023)

An annotated water-filled, and dry potholes dataset for deep learning applications
por: Dib, Jihad, et al.
Publicado: (2023)

Image-based dataset of artifact surfaces fabricated by additive manufacturing with applications in machine learning
por: Lyu, Jiaqi, et al.
Publicado: (2022)

Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models
por: Cubaynes, Hannah C., et al.
Publicado: (2022)

QDataSet, quantum datasets for machine learning
por: Perrier, Elija, et al.
Publicado: (2022)

A benchmark dataset for machine learning in ecotoxicology
por: Schür, Christoph, et al.
Publicado: (2023)

PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications
por: Korlepara, Divya B., et al.
Publicado: (2022)

Coconut (Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications
por: Thite, Sandip, et al.
Publicado: (2023)

Dataset for machine learning of microstructures for 9% Cr steels
por: Rozman, Kyle A., et al.
Publicado: (2022)

Chinese diabetes datasets for data-driven machine learning
por: Zhao, Qinpei, et al.
Publicado: (2023)

Strawberry-DS: Dataset of annotated strawberry fruits images with various developmental stages
por: Elhariri, Esraa, et al.
Publicado: (2023)

A large expert-curated cryo-EM image dataset for machine learning protein particle picking
por: Dhakal, Ashwin, et al.
Publicado: (2023)

COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
por: Afshar, Parnian, et al.
Publicado: (2021)

BananaLSD: A banana leaf images dataset for classification of banana leaf diseases using machine learning
por: Arman, Shifat E., et al.
Publicado: (2023)

Brazilian disaster datasets and real-world instances for optimization and machine learning
por: Veloso, Rafaela, et al.
Publicado: (2022)

Annotated Datasets of Oil Palm Fruit Bunch Piles for Ripeness Grading Using Deep Learning
por: Suharjito, et al.
Publicado: (2023)

SoyNet: A high-resolution Indian soybean image dataset for leaf disease classification
por: Rajput, Arpan Singh, et al.
Publicado: (2023)

A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories
por: Wu, Zhen-wei, et al.
Publicado: (2023)

Brightfield vs Fluorescent Staining Dataset–A Test Bed Image Set for Machine Learning based Virtual Staining
por: Trizna, Elena Y., et al.
Publicado: (2023)

An extensive dataset for successful recognition of fresh and rotten fruits
por: Sultana, Nusrat, et al.
Publicado: (2022)

A novel dataset of guava fruit for grading and classification
por: Maitlo, Abdul Khalique, et al.
Publicado: (2023)

A dataset of pomegranate growth stages for machine learning-based monitoring and analysis
por: Zhao, Jifei, et al.
Publicado: (2023)

Dataset of Schinus terebinthifolius essential oil microencapsulated by spray-drying
por: da Silva Acácio, Regina, et al.
Publicado: (2023)

Dataset on the optimization by response surface methodology for dried banana products using greenhouse solar drying in Thailand
por: Kreetachat, Torpong, et al.
Publicado: (2023)

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning
por: Nagy, Eszter, et al.
Publicado: (2022)

Transition1x - a dataset for building generalizable reactive machine learning potentials
por: Schreiner, Mathias, et al.
Publicado: (2022)

SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
por: Eastman, Peter, et al.
Publicado: (2023)

Textile weaving dataset for machine learning to predict rejection and production of a weaving factory
por: Ahmed, Toufique, et al.
Publicado: (2023)

A literature-derived dataset on risk factors for dry eye disease
por: Yang, Wanju, et al.
Publicado: (2023)

A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids
por: Zheng, Xiangtian, et al.
Publicado: (2022)

YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms
por: Shandilya, Shishir Kumar, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_nb98i1oi65n2cmtfif0h91utrl