Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Car Recognition | 38 | 6 years ago | 1 | Python | ||||||
CNN image classificator based on Cars Dataset from Stanford and pretrained CNN models in Keras | ||||||||||
Ap Cnn_pytorch Master | 33 | 2 years ago | 2 | mit | Python | |||||
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021) | ||||||||||
Stanford Cars | 31 | 4 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset | ||||||||||
Rpn | 28 | 7 years ago | mit | Python | ||||||
Stanford Car Classification | 24 | 8 months ago | 2 | mit | Python | |||||
Classifying the Stanford Car dataset using ResNet 50 | ||||||||||
Finegrainedvisualrecognition | 19 | 3 years ago | apache-2.0 | Python | ||||||
Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102. | ||||||||||
Cars | 16 | a year ago | Jupyter Notebook | |||||||
An attempt at the Stanford Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html). Largely taken from foamliu's code (https://github.com/foamliu/Car-Recognition) modified to require less pre-processing, less memory, and be more user friendly. | ||||||||||
Pytorch Fgvc Dataset | 13 | 4 years ago | mit | Python | ||||||
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017 | ||||||||||
Tensorflow Mobilenet Which Car Is That | 12 | 6 years ago | Java | |||||||
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset | ||||||||||
Stanford Cars Model | 11 | 5 years ago | 1 | mit | Python | |||||
A PyTorch model for Stanford Cars Datasets: https://ai.stanford.edu/~jkrause/cars/car_dataset.html |