config.json

{
  "name": "AgeRaceGenderNet",
  "description": "Multi-task face classification model predicting age, race, and gender. Built with Swin Transformer V2 Tiny backbone, fine-tuned on UTKFace dataset.",
  "license": "mit",
  "author": "atheless",
  "tags": [
    "face-classification",
    "age-prediction",
    "gender-prediction",
    "race-prediction",
    "multi-task",
    "transformer",
    "swin-transformer",
    "computer-vision"
  ],
  "pipeline_tag": "image-classification",
  "library_name": "torch"
}