Utilizing ResNet152V2 for Traffic Sign Classification: Achieve High Accuracy in Identifying 52 Sign Types with 99% Precision
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Apr 11, 2024 - Jupyter Notebook
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resnet152v2
Here are 13 public repositories matching this topic...
Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)
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Oct 21, 2023 - Jupyter Notebook
computer-vision deep-learning neural-network cnn classification image-classification vgg16 inceptionv3 tomato mobilenetv2 disease-prediction xgboost-classifier resnet152v2
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Nov 4, 2022 - Jupyter Notebook
'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.
deep-learning artificial-intelligence neural-networks image-classification transfer-learning vgg19 cnn-model precision-agriculture multi-class-classification cnn-classification cnn-classifier mobilenetv2 pre-trained-model smart-farming densenet201 weed-detection resnet152v2 crop-weed-detection crop-weed-dataset sorghum-weed-dataset
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Dec 18, 2023 - Jupyter Notebook
Brain Tumor MRI images have been classified into 4 classes by using Transfer Learning Models.
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Mar 28, 2023 - Jupyter Notebook
This notebook has the model created to predict COVID-19 only based on X-ray chest scans.
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Sep 16, 2022 - Jupyter Notebook
Klasifikasi Kanker otak dengan 7 model CNN
computer-vision cnn xception resnet50 mobilenetv2 resnet152 mobilenetv3-small resnet50v2 resnet152v2 brainmri
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Oct 19, 2021 - Jupyter Notebook
Official implementation of IEEE ICCIT 2025 paper: A Multi-Task ResNet152V2 Deep Learning Model for Joint Fruit Type & Freshness Detection with Grad-CAM Explainability (98.45% Accuracy).
computer-vision deep-learning tensorflow grad-cam image-classification transfer-learning conference-paper multi-task-learning explainable-ai streamlit smart-agriculture resnet152v2 food-quality-assessment ieee-iccit-2025 pytorch-equivalent
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Sep 27, 2026 - Jupyter Notebook
An End-to-End Pneumonia Diagnosis(from Chest X-Ray images) application built using Flask and Deep Learning models trained using TensorFlow on a Kaggle Dataset.
flask tensorflow cnn colab resnet transfer-learning vgg16 kaggle-dataset chest-xray pneumonia-detection resnet152v2
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Jan 31, 2026 - Jupyter Notebook
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Jul 20, 2023 - Jupyter Notebook
This project is a Steel Defect Detection System using a ResNet152V2-based deep learning model. The model predicts bounding boxes for steel defects in images and classifies them into multiple defect types. It is implemented using TensorFlow and Keras for the deep learning components.
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Sep 28, 2024 - Python
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Feb 28, 2025 - Jupyter Notebook
Image classification
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Dec 3, 2021 - Jupyter Notebook
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