Car Images Dataset - Kaggle
7 classes of cars with 4165 images. 7 classes of cars with 4165 images. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. OK, Got it. Something went wrong and this page crashed! If the …
cars196 | TensorFlow Datasets
2024年6月1日 · Description: The Cars dataset contains 16,185 images of 196 classes of cars. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. Classes are typically at the level of Make, Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe.
Cars Datasets and Pre-Trained Models - Roboflow
Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. The category includes images of cars from around the world, curated and annotated by the Roboflow Community.
Stanford Cars Dataset - Papers With Code
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.
cars-dataset · GitHub Topics · GitHub
2024年8月2日 · Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. With over 15,000 entries covering car models manufactured between 1992 and 2023, this repository offers valuable information for anyone looking to incorporate car data into their applications. Best of all, it's completely free to use!
GitHub - jhpohovey/StanfordCars-Dataset
StanfordCars. The Stanford Cars dataset was proposed by Krause et. al in 3D Object Representations for Fine-Grained Categorization. The citation is at the bottom of this document. It seems that most online resources, e.g., 1, 2, 3, 4 are either broken or incomplete.
datasets/docs/catalog/cars196.md at master - GitHub
The Cars dataset contains 16,185 images of 196 classes of cars. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. Classes are typically at the level of Make, Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe.
tanganke/stanford_cars · Datasets at Hugging Face
2024年4月29日 · Stanford Cars Dataset Dataset Overview Splits: Training: 8144 images used for model training. Test: 8041 images used for evaluation. Contrast: 8041 images with high contrast for robustness testing. Gaussian Noise: 8041 images corrupted by …
CARS196 Dataset - Papers With Code
CARS196 is composed of 16,185 car images of 196 classes. CARS196 is composed of 16,185 car images of 196 classes. Browse State-of-the-Art Datasets ; Methods; More ... The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions ...
CompCars Dataset - Papers With Code
The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data contains 163 car makes with 1,716 car models. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts.
- 某些结果已被删除