# Car Models 3778
A comprehensive collection of 193k car images and metadata.
![lamborghini-revuelto-2023-7457_38.jpg](https://s3.amazonaws.com/moonup/production/uploads/6411b70d54aaf87470a45f12/4rE-IkV3OXoXRXyTMqOpD.jpeg)
Car Models 3778 Dataset is a comprehensive collection of around `193k` images across `3778` car model variants, obtained entirely through web scraping of the autoevolution.com website. Each model variant contains between 20 and 200 images in the size of 512x512, offering a diverse range of high-quality images that have been collected from a single reliable source.

The accompanying `.csv` file contains `44` columns of information about the car and the images that belong to them, making it easy to access and utilize the data. The information in the .csv file includes make, model, year, body type, engine type, transmission, and fuel type, among other specifications. Additionally, the file includes information on the image filenames and directories, providing quick access to the corresponding image data.

Some images might be missing due to being deleted as a bad format after resizing. However, despite the missing images, this dataset still provides a rich and diverse collection of car images that can be used for various machine learning tasks, such as image classification, object detection, and segmentation.

In conclusion, the Car Models 3778 Dataset is a reliable and comprehensive collection of high-quality car images and associated metadata, obtained through web scraping of the autoevolution.com website. The dataset is well-suited for use in a wide range of machine learning tasks, making it a valuable resource for researchers and practitioners in the computer vision field.

---
license: other
---

region:us
{}
TAGS
#region-us 

# Car Models 3778
A comprehensive collection of 193k car images and metadata.
!lamborghini-revuelto-2023-7457_38.jpg
Car Models 3778 Dataset is a comprehensive collection of around '193k' images across '3778' car model variants, obtained entirely through web scraping of the URL website. Each model variant contains between 20 and 200 images in the size of 512x512, offering a diverse range of high-quality images that have been collected from a single reliable source.

The accompanying '.csv' file contains '44' columns of information about the car and the images that belong to them, making it easy to access and utilize the data. The information in the .csv file includes make, model, year, body type, engine type, transmission, and fuel type, among other specifications. Additionally, the file includes information on the image filenames and directories, providing quick access to the corresponding image data.

Some images might be missing due to being deleted as a bad format after resizing. However, despite the missing images, this dataset still provides a rich and diverse collection of car images that can be used for various machine learning tasks, such as image classification, object detection, and segmentation.

In conclusion, the Car Models 3778 Dataset is a reliable and comprehensive collection of high-quality car images and associated metadata, obtained through web scraping of the URL website. The dataset is well-suited for use in a wide range of machine learning tasks, making it a valuable resource for researchers and practitioners in the computer vision field.

---
license: other
---

# Car Models 3778
A comprehensive collection of 193k car images and metadata.
!lamborghini-revuelto-2023-7457_38.jpg
Car Models 3778 Dataset is a comprehensive collection of around '193k' images across '3778' car model variants, obtained entirely through web scraping of the URL website. Each model variant contains between 20 and 200 images in the size of 512x512, offering a diverse range of high-quality images that have been collected from a single reliable source.

The accompanying '.csv' file contains '44' columns of information about the car and the images that belong to them, making it easy to access and utilize the data. The information in the .csv file includes make, model, year, body type, engine type, transmission, and fuel type, among other specifications. Additionally, the file includes information on the image filenames and directories, providing quick access to the corresponding image data.

Some images might be missing due to being deleted as a bad format after resizing. However, despite the missing images, this dataset still provides a rich and diverse collection of car images that can be used for various machine learning tasks, such as image classification, object detection, and segmentation.

In conclusion, the Car Models 3778 Dataset is a reliable and comprehensive collection of high-quality car images and associated metadata, obtained through web scraping of the URL website. The dataset is well-suited for use in a wide range of machine learning tasks, making it a valuable resource for researchers and practitioners in the computer vision field.

---
license: other
---
TAGS
#region-us 
 # Car Models 3778
A comprehensive collection of 193k car images and metadata.
!lamborghini-revuelto-2023-7457_38.jpg
Car Models 3778 Dataset is a comprehensive collection of around '193k' images across '3778' car model variants, obtained entirely through web scraping of the URL website. Each model variant contains between 20 and 200 images in the size of 512x512, offering a diverse range of high-quality images that have been collected from a single reliable source.

The accompanying '.csv' file contains '44' columns of information about the car and the images that belong to them, making it easy to access and utilize the data. The information in the .csv file includes make, model, year, body type, engine type, transmission, and fuel type, among other specifications. Additionally, the file includes information on the image filenames and directories, providing quick access to the corresponding image data.

Some images might be missing due to being deleted as a bad format after resizing. However, despite the missing images, this dataset still provides a rich and diverse collection of car images that can be used for various machine learning tasks, such as image classification, object detection, and segmentation.

In conclusion, the Car Models 3778 Dataset is a reliable and comprehensive collection of high-quality car images and associated metadata, obtained through web scraping of the URL website. The dataset is well-suited for use in a wide range of machine learning tasks, making it a valuable resource for researchers and practitioners in the computer vision field.

---
license: other
---
passage: TAGS
#region-us 
# Car Models 3778
A comprehensive collection of 193k car images and metadata.
!lamborghini-revuelto-2023-7457_38.jpg
Car Models 3778 Dataset is a comprehensive collection of around '193k' images across '3778' car model variants, obtained entirely through web scraping of the URL website. Each model variant contains between 20 and 200 images in the size of 512x512, offering a diverse range of high-quality images that have been collected from a single reliable source.

The accompanying '.csv' file contains '44' columns of information about the car and the images that belong to them, making it easy to access and utilize the data. The information in the .csv file includes make, model, year, body type, engine type, transmission, and fuel type, among other specifications. Additionally, the file includes information on the image filenames and directories, providing quick access to the corresponding image data.

Some images might be missing due to being deleted as a bad format after resizing. However, despite the missing images, this dataset still provides a rich and diverse collection of car images that can be used for various machine learning tasks, such as image classification, object detection, and segmentation.

In conclusion, the Car Models 3778 Dataset is a reliable and comprehensive collection of high-quality car images and associated metadata, obtained through web scraping of the URL website. The dataset is well-suited for use in a wide range of machine learning tasks, making it a valuable resource for researchers and practitioners in the computer vision field.

---
license: other
---