train_data = data_set("./dataset/train", data_transform, train=True) train_loader = DataLoader(train_data, batch_size=batch_size, shuffle=True, num_workers=2, drop_last=True) val_data = data_set("./dataset/validation", data_transform, train=True)val_loader= DataLoader(val_data, batch...
Results By training on a large dataset, and leveraging a pretrained model, we are able to achieve 97.5% accuracy, which I must say is pretty impressive.About Building an image classification CNN model in TensorFlow to determine if an image is a picture of a dog or a cat. Compare the perf...
This project demonstrates how to classify images of dogs and cats using a Convolutional Neural Network (CNN) implemented in PyTorch. The model can be trained on a dataset of dog and cat images and then used to classify new images or perform real-time predictions using a webcam ...
The Data Set I’m going to be using a publicly available data set containing user ratings of books gathered on Amazon – dataset available here: Book Data Set There are three files in there – one with all the details of the books, one with all the details of the users and finally one...
VOC猫狗数据集 VOC_cat_dog-dataset.zip VOC猫狗数据集,从VOC数据集中提取得到,可以用于猫狗检测数量:3947 标签格式: txt和xml 类别:cat 、dog 立即下载 上传者: weixin_51154380 时间: 2022-04-09 _用_resnet50_写的_猫狗分类,数据集来自于_Kaggle_搜索_cat_vs_dog_re _用_resnet50_写的_猫...
If you want to execute the code, make sure you have all package requirements installed, and Dogs vs. Cats training dataset placed indatasets. The folder structure should be like: cat-recognition-train +-- train.py +-- net.py +-- dataset.py +-- datasets +-- train | +-- cat.0.jpg...
dataset.py model.py requirement.txt test.py train.py Repository files navigation README Apache-2.0 license classification-torch A simple demo of implementing cat and dog classification 这个项目是一个简单的使用resnet18实现猫狗分类的例子,主要学习:1)是神经网络实现分类的原理 2)了解模型优化流程...
Cat vs Dog Image Classifier Compares the accuracy of KNN, HOG/SVM and CNN for classifying an image as cat or dog. Conclusion A CNN is the best approach to this dataset with a 91% accuracy. Neither the KNN or HOG/SVM performed well enough to be considered useable for this dataset as th...
使用深度学习方法识别一张图片是猫还是狗。. Contribute to rongmax-gufei/udacity-mlnd-dogs-vs-cats development by creating an account on GitHub.
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