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stanford-cars

Here are 20 public repositories matching this topic...

RidaDogrul / EfficientNetB0_for_transfer_learning

machine-learning transfer-learning stanford-cars efficientnet efficientnetb0

Updated Aug 22, 2023
Jupyter Notebook

ablanco1950 / CarsModels_Resnet_Pytorch

Project that detects the model of a car, between 1 and 196 models ( the 196 modelss of Stanford car file), that appears in a photograph with a success rate of more than 70% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer.

python pytorch resnet deeplearning transfer-learning resnet-50 stanford-cars cars196 cars-dataset small-scale-computer-vision

Updated Feb 9, 2024
Python

CAM_Stanford_Cars

KonWski / CAM_Stanford_Cars

Class Activation Map | Stanford Cars | PyTorch

pytorch class-activation-map stanford-cars

Updated Jan 5, 2023
Python

Sid1279 / CarCognize-MLOps

Car Model Classifier built using PyTorch, deployed via AWS SageMaker 🚗 💨

training docker aws deployment aws-s3 inference ci-cd pytorch cloudwatch-logs aws-ec2 preprocessing cloudwatch-metrics pytorch-cnn configmaps mlops stanford-cars omegaconf mlops-workflow pipeline-deploy

Updated Mar 31, 2024
Python

morrisfl / stanford_cars_refined

Enhanced class label granularity of the Stanford Cars dataset.

dataset stanford-cars refined-class-labels vcor-dataset

Updated May 11, 2024
Python

dimgag / stanford_car_classification

Multi-class classification on Stanford Cars Dataset

computer-vision deep-learning multiclass-classification stanford-cars efficientnet-b0

Updated May 26, 2023
Python

sameer-n012 / resnet-car-classification

python machine-learning neural-network tensorflow image-classification resnet transfer-learning complete hyperparameter-tuning summer-camp stanford-cars

Updated Feb 5, 2022
Jupyter Notebook

mouniraziz / AGLRs

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

local pytorch global image-classification image-recognition metric-learning convolutional-neural-networks one-shot-learning prototypes k-nearest-neighbours meta-learning miniimagenet stanford-dogs-dataset few-shot-learning stanford-cars cub-dataset tiered-imagenet few-shot-classifcation

Updated Aug 21, 2023
Python

DanRuta / Stanford-Cars-Deep-Learning

Deep Learning experiments for the Stanford Cars dataset

machine-learning deep-learning pytorch neural-networks ensemble-learning tensorboard transfer-learning stanford-cars

Updated Mar 24, 2023
Python

arasgungore / car-brand-recognition

Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.

computer-vision deep-learning image-processing cnn image-classification image-recognition resnet convolutional-neural-networks convolutional-neural-network residual-networks resnet-50 cnn-classification residual-neural-network stanford-cars car-recognition image-processing-python car-classification car-brands car-brand-classification stanford-car-dataset

Updated Jan 9, 2024
Python

amitdu6ey / stanford-cars-image-calssification-model

Car Classification with 89% accuracy using ResNet50 with PyTorch & FastAI.

deep-learning fastai resnet-50 stanford-cars

Updated Sep 27, 2020
Jupyter Notebook

haksorus / mobilenetv2-cars-classification

PyTorch MobileNetV2 Stanford Cars Dataset Classification (0.85 Accuracy)

cnn pytorch mobilenetv2 stanford-cars mobilenetv2-pytorch grad-cam-visualization

Updated Jul 14, 2022
Jupyter Notebook

Simula-COMPLEX / pure

Uncertainty quantification method and tool for object detection models

machine-learning deep-learning keras object-detection uncertainty-quantification kitti-dataset berkeley-deep-drive stanford-cars nexet

Updated Nov 20, 2021
Jupyter Notebook

mouniraziz / MsKPRN

The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning

deep-learning neural-network pytorch image-classification convolutional-neural-networks one-shot-learning relation-networks kronecker-product miniimagenet stanford-dogs-dataset multi-scale few-shot-learning stanford-cars cub-dataset

Updated Aug 21, 2023
Python

vivekkalyan / fine-grained-image-classification

computer-vision pytorch resnext fine-grained-classification stanford-cars

Updated Jan 25, 2020
Python

codope / aiforsea-cv-cars

Fine-Grained Visual Classification on Stanford Cars Dataset

machine-learning computer-vision deep-learning pytorch resnet fastai deep-convolutional-neural-networks stanford-cars grab-ai-for-sea

Updated Jun 21, 2022
Jupyter Notebook

deanwetherby / tf_oda_stanford_cars

Train a TensorFlow deep learning model to detect vehicle make/model.

python deep-learning tensorflow vehicle-detection tensorflow-object-detection-api stanford-cars

Updated Jan 30, 2022
Python

lvyilin / pytorch-fgvc-dataset

PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

datasets inaturalist stanford-cars tiny-imagenet cub200-2011 fgvc-aircraft pytorch-fgvc-dataset stanford-dogs nabirds

Updated Dec 18, 2022
Python

ZF4444 / MMAL-Net

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

fine-grained fine-grained-classification stanford-cars cub-200-2011 weakly-supervised-localization fgvc-aircraft

Updated Dec 29, 2020
Python

Yangyangii / GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

Updated Feb 22, 2023
Jupyter Notebook

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