Creating your perfect project can be hard. To make life easier for you; we’ve created cheat sheets for some common problem types. These cheat sheets will guide you through the main steps you take when solving your problem.
Multi-label image classification
Use this cheat sheet if your input data consists of a set of images (.jpg or .png), where each image can be said to contain or not contain multiple attributes. This is called multi-label classification.
Single-label image classification
Use this cheat sheet if your input data consists of labeled images containing exactly one of multiple classes. This is called single-label classification.
Image segmentation, mark a single object type within an image
Use this cheat sheet if your input data consists of a set of images (.jpg or .png), wherein each image there is one or several objects of one specific type.
The selected model should be able to mark, pixel by pixel, where the object is in the image.
BERT cheat sheet
Use this cheat sheet if you want to use BERT and your input data consists of English text with a classification tag.
Snippet selector for image projects
This flowchart will help you select the right snippet for your image data project.