paper-with-me

Stanford Cars

홈페이지 · 논문 790편

The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. The data is divided into almost a 50-50 train/test split with 8,144 training images and 8,041 testing images. Categories are typically at the level of Make, Model, Year. The images are 360×240. Source: View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network Image Source: https://ai.stanford.edu/~jkrause/cars/car_dataset.html

Images

벤치마크

Fine-Grained Image Classification on Stanford Cars 결과 166개

Image Classification on Stanford Cars 결과 24개

Prompt Engineering on Stanford Cars 결과 14개

Few-Shot Image Classification on Stanford Cars 5-way (1-shot) 결과 12개

Few-Shot Image Classification on Stanford Cars 5-way (5-shot) 결과 12개

Neural Architecture Search on Stanford Cars 결과 8개

Continual Learning on Stanford Cars (Fine-grained 6 Tasks) 결과 6개

Few-Shot Learning on Stanford Cars 결과 6개

Image Clustering on Stanford Cars 결과 5개

Image Generation on Stanford Cars 결과 4개

Learning with coarse labels on Stanford Cars 결과 2개

Zero-Shot Learning on Stanford Cars 결과 2개

Transductive Zero-Shot Classification on Stanford Cars 결과 1개