Added "binary-category" as a target type to the Oxford pet dataset. Uses the second numeric input in the annotation to get the species and outputs 0 for cat and 1 for dog. Discussed in #8364 . Notebook showing this in action can be found here
Even if you do not have any prior experience with deep learning, I urge you to come join me, and witness the many wonders of Deep Learning and CNN in particular. Chapters 00:00 - Dog vs Cat Classification Using Convolution Neural Network 01:29 - Tod...
To avoid overfitting and create a larger dataset from a smaller one we can use a technique called data augmentation. This is simply performing random transofrmations on our images so that our model can generalize better. These transformations can be things like compressions, rotations, stretches a...
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...
Parsimony analyses under different weighting schemes and strengths were used to generate hypotheses of phylogenetic relationships. The phylogenetic analysis of 78 terminal taxa, using the combined dataset and weighting each column separately (SEP; k = 3) resulted in one most-parsimonious cladogram of...
cat population heterozygosity decreased as genetic distance from the proposed cat progenitor’s (F.s. lybica) natural habitat increased. Domestic cat origins are focused in the eastern Mediterranean Basin, spreading to nearby islands, and southernly via the Levantine coast into the Nile Valley. Cat...
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 they barely did better than a...
Cat-Dog-Classification-TransferLearning This project is about Global AI HUB Summer Camp'22 group assessment project. In this project we do transfer learning via. VGG16 Model to famous cats-dogs dataset. To be able to work this model, first you should download the dataset from the link and ...
Figure 4 illustrates the taxonomy select process, the initial ancestor label of ˆf is nˆi = feline and the Tˆi = Tidog where the dog taxonomy Tidog = {placental, carnivore, canine, dog}. Since feline is not in Tˆi, the selected taxonomy Ti = ...
The establishment of cat breeds from domesticated and tamed free-roaming cat populations is a relatively recent event. Many domesticated animal species such as cattle, goats, pig, dog, and horse, were selected for traits of economic value such as meat, milk, drought tolerance, endurance, strength...