Pytorch Fgvc Dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Node Efficientnet | 245 |  | 2 | 8 months ago | 37 | October 12, 2022 | 21 | mit | TypeScript | |
| tensorflowJS implementation of EfficientNet 🚀 | ||||||||||
| Car Detection | 14 | 5 years ago | 3 | Python | ||||||
| Computer vision techniques for car detection in Python | ||||||||||
| 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 | ||||||||||
| Multi Labels Googlenet Caffe | 8 | 7 years ago | 1 | C++ | ||||||
| this repository is multi-labels classification which based on googLeNet model with caffe | ||||||||||
| Objectdetector | 7 | 5 years ago | Java | |||||||
| ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers and some other programs, which (will) help training the classifiers (for example, a program downloading the "cat box" synset images from ImageNet). | ||||||||||
| Car Models And Make Classification Standford_car_dataset Mobilenetv2 Imagenet 93 Percent Accuracy | 6 | 5 years ago | Jupyter Notebook | |||||||
| Car Models and Make Classification Standford_Car_dataset mobilenetv2 imagenet 93 percent accuracy | ||||||||||
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Python
Pytorch
Dataset
Car
Imagenet
Stanford