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1صورة
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.g001Test
https://figshare.com/articles/figure/The_whole_process_of_food_image_recognition_based_on_transfer_learning_and_ensemble_learning_/25030539Test -
2
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.t002Test
https://figshare.com/articles/dataset/Experiment_environment_/25030557Test -
3صورة
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.g004Test
https://figshare.com/articles/figure/Accuracy_curves_of_four_models_during_fine-tuning_training_/25030548Test -
4
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.t004Test
https://figshare.com/articles/dataset/Comparison_of_experimental_results_of_four_convolutional_neural_networks_in_direct_training_mode_and_fine-tuning_training_mode_/25030563Test -
5صورة
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.g003Test
https://figshare.com/articles/figure/Loss_curves_of_four_models_during_fine-tuning_training_/25030545Test -
6صورة
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.g005Test
https://figshare.com/articles/figure/Recognition_accuracy_of_ensemble_models_under_different_ensemble_strategies_/25030551Test -
7
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.t001Test
https://figshare.com/articles/dataset/Performance_comparison_of_four_convolutional_neural_networks_on_Imagenet_/25030554Test -
8
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.t005Test
https://figshare.com/articles/dataset/Comparison_of_the_results_between_single_models_and_ensemble_models_/25030566Test -
9صورة
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.g002Test
https://figshare.com/articles/figure/Example_of_data_augmentation_/25030542Test -
10
المؤلفون: Le Bu, Caiping Hu, Xiuliang Zhang
مصطلحات موضوعية: Medicine, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, high enough due, generic image features, classify feature information, experimental results demonstrated, strong learning ability, food images based, food image dataset, food image recognition, food images, generalization ability, transfer learning, imagenet dataset, ensemble learning, 11 dataset, food retrieval, food recommendation,
%22">xlink ">, small inter, single models, several kinds, reaching 96, nutrition monitoring, model fine, mobilenet v2, large intra, great significance الإتاحة: https://doi.org/10.1371/journal.pone.0296789.t006Test
https://figshare.com/articles/dataset/Comparison_of_the_results_between_the_proposed_method_and_the_conventional_methods_on_the_food-11_dataset_/25030569Test