Hi everyone,
I’m currently working on a small computer vision project focused on flag classification and multi-class image recognition. The goal is to train a CNN model to accurately identify different national flags and map them to their respective country names.
For this, I’m looking for a well-structured resource containing all country flags with names in the world (PDF or labeled dataset format). Ideally, the dataset should include:
- High-resolution flag images
- Official country names (preferably aligned with United Nations member states)
- Clean labeling for supervised learning
- Consistent image dimensions (or at least easy to preprocess)
- Alphabetical or indexed organization
If a ready-made PDF exists, I can convert it into structured image-label pairs. Otherwise, I’d appreciate guidance on reliable sources for downloading standardized flag datasets.
If anyone has experience building a similar flag classifier or working with multi-class datasets (150–200+ classes), I’d love to hear about preprocessing strategies, augmentation techniques, or model architecture recommendations.
Thanks in advance for any suggestions!