Alternatives and similar repositories for Project_Dogs_vs_Cats:

Users that are interested in Project_Dogs_vs_Cats are comparing it to the libraries listed below

• subicWang / HOG-SVM-classifer
  For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.
  ☆43Updated 5 years ago
• Parikshit22 / UNet-using-Dense-Layer
  Basically, I implemented U-Net architecture using Dense-Blocks instead of Convolution layers and also added a Dilated Spatial Pooling Lay…
  ☆15Updated 5 years ago
• MaisyZhang / kaggle-dogs-vs-cats
  基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类
  ☆77Updated 6 years ago
• vyomshm / Cats-Dogs-with-keras
  An image classifier to identify pictures of cats and dogs absed on very little data.(inspired by fchollet's blog on blog.keras.io)
  ☆20Updated 8 years ago
• tyiannak / pyImageClassification
  Image Feature Extraction and Classification Using Python
  ☆114Updated 8 years ago
• xuetsing / cats-vs-dogs
  TensorFlow实现Kaggle猫狗大战
  ☆56Updated 7 years ago
• huangchuchuan / SVM-HOG-images-classifier
  使用图像的hog特征来导入svm来进行分类
  ☆24Updated 7 years ago
• huangchuchuan / SVM-LBP-picture-classifier
  使用LBP方法提取特征，再使用svm进行分类
  ☆41Updated 7 years ago
• haozhihang123 / pytorc_classification_model
  学习pytorch图像分类时整理的魔板，只需要更改对应的图片，直接运行train.py 和test.py即可
  ☆17Updated 5 years ago
• yizt / keras-faster-rcnn
  keras实现faster rcnn，end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题
  ☆85Updated 5 years ago
• HansRen1024 / SVM-classification-localization
  HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
  ☆170Updated 5 months ago
• Grootzz / GLCM-SVM
  提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类
  ☆119Updated 5 years ago
• Abhishek-Arora / Image-Classification-Using-SVM
  This application uses LIBSVM and PIL to perform image classification on a set of images.
  ☆88Updated 9 years ago
• xvshu / ImageNet-Api
  基于Keras+Tensorflow搭建，提供ResNet50神经网络的图片分类平台。
  ☆36Updated 6 years ago
• fupiao1998 / keras-segmentation-sota-models
  A keras implementation of many sota segmentation model with different backbones, such as Unet, Bisenet, Linknet
  ☆17Updated 6 years ago
• alisure-ml / tensorflow-classification-network
  实现遇到的分类网络（持续更新）
  ☆19Updated 6 years ago
• hechaonjau / SVM
  用SVM支持向量机方法，经过LBP特征提取实现二分类
  ☆10Updated 6 years ago
• haixiansheng / unet-keras-for-Multi-classification
  ☆48Updated 5 years ago
• downingstreet / GrabCut
  ☆28Updated 10 years ago
• joooogle / Automatic-labeling-of-instance-segmentation-Mask-Rcnn-in-static-background-base-on-labelme
  静态背景下实例分割数据集自动标注工具，基于Labelme改进。可以自动生成labelme格式的json文件。(注意：本程序只适用于大量图片基于静态背景)原理是：背景减除后得到高质量的二值图，计算连通域外轮廓坐标，再将信息写入json文件。
  ☆12Updated 5 years ago
• larrycheungbai / ICIP2016_CNN_Crack_Detection
  ☆22Updated 5 months ago
• mcuwangzaiacm / MobileV2_DeepLabV3plus_pytorch1.2
  这是一个基于MobileV2主干的DeepLabV3plus语义分割模型基础代码，用于入门学习
  ☆13Updated 2 years ago
• takooctopus / CornerNet-Lite-Tako
  CornerNet-Lite的批注与学习
  ☆12Updated 5 years ago
• PatientEz / CNN-Image-Classfication
  使用CNN进行图像分类，并且附录了SIFT+BOG+SVM多分类器的机器学习分类模型
  ☆40Updated 5 years ago
• mattzheng / U-Net-Demo
  U-Net图像分割练习题两则
  ☆128Updated 7 years ago
• wuyang0329 / unet
  this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI
  ☆101Updated 5 years ago
• mayuri0192 / Image-classification
  Image Classification using SIFT, Bag of words, k means clustering and SVM Classification
  ☆84Updated 10 months ago
• jeffery-zhougang / DeeplabV3Plus-Keras-Retraining
  使用自己的数据集retraining DeeplabV3+
  ☆33Updated 6 years ago
• ideb1988 / Image_Segmentation
  texture and color based Image Segmentation using K-Means Clustering
  ☆22Updated 10 years ago
• HealthyBuilder / Image-classification-SVM-ML
  Image classification based on SVM. Use Gray level co-occurrence matrix（GLCM） and Histogram of Oriented Gradient (HOG) for image features …
  ☆13Updated 5 years ago