Search results for machine learning
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85 datasets for “machine learning”
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HotPig: a behavioural dataset of pigs under heat stress
Gondret, FlorenceUpdated 28 May 2026
… This dataset can be used to train any machine learning methods for behaviour prediction from videos in conventional …
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Aphids Hyperspectral Images
Peignier, SergioUpdated 13 Nov 2023
… With this aim, we have created a machine-learning model to identify and quantify aphids, localizing their spatial …
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CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments
Vayssade, Jehan-AntoineUpdated 17 Oct 2023
… The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision agriculture, animal …
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CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments (yolo version)
Vayssade, Jehan-AntoineUpdated 17 Oct 2023
… The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision agriculture, animal …
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Lagrangian and Eulerian dataset of flow over a circular cylinder at Reynolds number 3900
RAHIMI KHOJASTEH, AliUpdated 29 Jun 2023
… for tracking algorithm assessment, exploring the physics of Lagrangian particles, statistic analyses, data assimilation and machine learning interests.
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The discernible and hidden effects of clonality on the genotypic and genetic states of populations: improving our estimation of clonal rates
Solenn StoeckelUpdated 12 May 2021
… of c from population genetics data through supervised machine learning. Here are the numerical results form those simulations.
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multispectral images from the orchard, detecting HLB citrus disease
ABDELGHAFOUR, FLORENTUpdated 25 Sept 2025
… The datset was formated to be used input for machine leaerning and deep-learning algorihms, as a classification …
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Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)
Updated 5 Jun 2025
… They are convenient for both visual inspection and machine-learning-based methods exploitation. The proposed dataset is the …
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Devices, people and vehicles counting - Liverpool
Updated 29 Nov 2020
… The algorithm has used machine learning to identify objects in the camera viewfinder and categorise them into pedestrian …
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French maps for the Global Soil Nutrient and Nutrient Budget Map (GSNmap)
Suleymanov, AzamatUpdated 29 Aug 2023
… Random forest machine learning approach in combination with environmental variables was used for spatial distribution assessment of properties …
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Data for - MuFFIN - Modelling Foraging Fitness in Marine Predators
CHIMIENTI, MariannaUpdated 16 Nov 2022
… of individual variability on the predictive performance of machine learning applied to large bio-logging datasets." Article DOI …
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Composition-based statistical model for predicting CO2 solubility in Modified Atmosphere Packaging application
Münch, MélanieUpdated 22 Sept 2022
… In the present study, machine learning algorithms were applied on a set of 362 values of CO2 solubilities …
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Parking — Occupancy forecasting
Brisbane City CouncilUpdated 21 Sept 2026
… The parking occupancy forecasting data is compiled using advanced analytics and machine learning to estimate paid parking availability …
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Parking — Occupancy forecasting — 2025
Brisbane City CouncilUpdated 12 Dec 2025
… The parking occupancy forecasting data is compiled using advanced analytics and machine learning to estimate paid parking availability …
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Parking — Occupancy forecasting — 2021–2022
Brisbane City CouncilUpdated 12 Dec 2025
… The parking occupancy forecasting data is compiled using advanced analytics and machine learning to estimate paid parking availability …
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Parking — Occupancy forecasting — 2023–2024
Brisbane City CouncilUpdated 12 Dec 2025
… The parking occupancy forecasting data is compiled using advanced analytics and machine learning to estimate paid parking availability …
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
National Laboratory of the RockiesUpdated 25 Jul 2024
… The downscaling process was performed using a generative machine learning approach called sup3r: Super-Resolution for Renewable Energy …
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Time-Series RGB Image Dataset of Wheat–Weed Interactions under Controlled Mesocosm Conditions
GEE, ChristelleUpdated 30 Mar 2026
… the development and evaluation of computer vision and machine learning approaches for plant detection, segmentation, and classification. -This …
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Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Lelong, CamilleUpdated 10 Feb 2025
… fins d'apprentissage d’algorithmes de Machine Learning ou de Deep Learning. La nomenclature contient toutes les classes …
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Database of direct numerical simulations of Rayleigh-Taylor turbulence at low density contrast: 0D volume-averaged quantities
Thévenin, SébastienUpdated 23 Apr 2025
… Thévenin, "Contribution of machine learning to the modeling of turbulent mixing", PhD thesis, Université Paris-Saclay, 2024. URL …
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