README.md

metadata

license: mit
pretty_name: MTG Face Objects Classifcation
size_categories:
  - n<1K

mtg face objects dataset

This dataset does NOT contian ALL the highres card scan images only about 11,700 in the form of a zip file, more than enough for object classifcation

This dataset contains high-resolution annotations for Magic: The Gathering card scans. The annotations were created using LabelImg and include raw XML labels in labellmg PascalVoc. The dataset is organized into training and validation portions, enabling custom object detection model training. Around 90 labeled images, and 20 extra for validation.

Dataset Structure

data/
├── annotations/          
│   ├── [*.xml]  # Training annotation files
│   └── ...  
├── control_annotations/  
│   ├── [*.xml]  # Validation annotation files
│   └── ...
└── labels/
│   ├── train/         # YOLO-format label files generated from training annotations
│   └── val/           # YOLO-format label files generated from validation annotations
└── Images/
    ├── train/                          # Images with labels used for training 
    └── val/                            # Images with labels used for validation training
    └── high-res-card-scan-images.zip   # High res card scans should be unzipped here for training!

• annotations/: Contains XML files used for training.
• control_annotations/: Contains XML files used as the validation set.
• labels/: Contains the converted YOLO-format label files, split into train and val directories.

Usage

• Use the annotations and control_annotations folders for generating training and validation labels.
• The labels folder holds the final YOLO-format text files required for training an object detection model with yolo11.
• For the pre-trained model, visit the MTG Card Segmentation YOLO11 model page.