Car vs Bike Classification Dataset

Car vs Bike Classification Dataset


Car vs Bike Classification Dataset


Car vs Bike Classification Dataset

Use Case

Computer Vision


This data set is a collection of 2,000 Bike and Car images. While collecting these images, It was made sure that all types of bikes and cars.

Car vs Bike Classification Dataset

About Dataset

This dataset contains 2,000 images of bikes and cars. We made sure to include all kinds of bikes and cars in the collection because there’s a lot of variety among them. This means there are many different types of bikes and cars, which can make it challenging for the model to recognize them. However, if your model can learn the basic features of a bike and a car, it will be able to tell them apart.

The data hasn’t been processed beforehand. We did this on purpose so that you can apply any changes or enhancements you want. Nearly all of the 2000 images are different. So, by making some adjustments to the data, you can make the dataset bigger.

The data hasn’t been divided into separate sets for training and validation. However, you can easily do this by using a tool called Image data generator from Keras. The steps to prepare the data are outlined in the notebook linked to this dataset. You can use this dataset to practice your computer vision skills. It involves a task where you have to classify images into two categories. This is binary classification task.

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