Topic: stanford-cars Goto Github
Some thing interesting about stanford-cars
Some thing interesting about stanford-cars
stanford-cars,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.
User: ablanco1950
stanford-cars,Car Classification with 89% accuracy using ResNet50 with PyTorch & FastAI.
User: amitdu6ey
stanford-cars,Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
User: arasgungore
stanford-cars,Fine-Grained Visual Classification on Stanford Cars Dataset
User: codope
stanford-cars,Deep Learning experiments for the Stanford Cars dataset
User: danruta
stanford-cars,Train a TensorFlow deep learning model to detect vehicle make/model.
User: deanwetherby
stanford-cars,Multi-class classification on Stanford Cars Dataset
User: dimgag
stanford-cars,PyTorch MobileNetV2 Stanford Cars Dataset Classification (0.85 Accuracy)
User: haksorus
stanford-cars,Fine-Tuning a pre-trained ResNet 50 model on the Stanford Cars dataset
User: jordandeklerk
stanford-cars,Class Activation Map | Stanford Cars | PyTorch
User: konwski
stanford-cars,PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
User: lvyilin
stanford-cars,Enhanced class label granularity of the Stanford Cars dataset.
User: morrisfl
stanford-cars,Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning
User: mouniraziz
stanford-cars,The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
User: mouniraziz
stanford-cars,This repository will help you get label for images in Stanford Cars Dataset.
User: nguyentruonglau
stanford-cars,Car Model Classifier built using PyTorch, deployed via AWS SageMaker 🚗 💨
User: sid1279
stanford-cars,Uncertainty quantification method and tool for object detection models
Organization: simula-complex
stanford-cars,Simple Implementation of many GAN models with PyTorch.
User: yangyangii
stanford-cars,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).
User: zf4444
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