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Topic: "crop-weed-dataset"

JustinaMichael/HierbaNetV1-A-Novel-CNN-Architecture

HierbaNetV1 is a novel convolutional neural network (CNN) architecture with a cutting-edge feature extraction technique

Language: Jupyter Notebook - Size: 102 KB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JustinaMichael/SorghumWeedDataset_Classification

‘SorghumWeedDataset_Classification’ is a crop-weed research dataset with 4312 data samples, which can be used for multiclass image classification.

Size: 62.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JustinaMichael/CNN_Sorghum_Weed_Classifier

'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Topics
neural-networks 2 cnn-classification 2 cnn-model 2 crop-weed-detection 2 precision-agriculture 2 deep-learning 2 sorghum-weed-dataset 2 artificial-intelligence 2 pre-trained-model 1 resnet152v2 1 smart-farming 1 transfer-learning 1 vgg19 1 weed-detection 1 classification 1 dataset 1 image-dataset 1 india-data 1 research-data 1 multi-class-classification 1 mobilenetv2 1 image-classification 1 densenet201 1 cnn-classifier 1 sorghumweeddataset-classification 1 novel 1 low-level-feature 1 high-level-feature 1 hierbanetv1 1 feature-integration 1 feature-extraction 1 cnn 1