metadata

tags:
  - image-classification
  - pytorch
  - huggingpics
metrics:
  - accuracy
model-index:
  - name: brand-detector
    results:
      - task:
          name: Image Classification
          type: image-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8428270220756531

brand-detector

Brand detector is a particular case of image classification, since these may contain only text, images, or a combination of both.

In this work, we trained a system for the brand classification of shoes available at https://www.shooos.com/.

The method allows obtaining the most similar brands on the basis of their shape, color, business sector, semantics, general characteristics, or a combination of other features.

The proposed approach is evaluated using 15% of unseen images of the dataset. The experimentation carried out attained reliable performance results, both quantitatively and qualitatively.

How to test: