DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
1.數據集結構 Deep Fashion是CUHK的MMLAB提供的公開數據集， 包含了80萬張圖片。 首先爲圖像生成 形容詞+名詞的描述，例如‘印着動物的裙子’，然後將名詞作爲類別標籤，共生成了50種標記分類。 然後將形容詞作爲對應的屬性標籤，所有圖像中出現頻率在前1000位的屬性被記錄。這些屬性被分爲5個組別，分別是 texture, fabric,
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相關文章
- 1. 論文理解：DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 2. 論文閱讀理解 - DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 3. 論文閱讀學習 - ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations
- 4. 服裝分類檢索識別數據集
- 5. robust scene text recognition with automatic rectification
- 6. Combating Adversarial Misspellings with Robust Word Recognition
- 7. 當時尚遇上AI！港中文MMLab開源MMFashion工具箱
- 8. [筆記] Pedestrian Attribute Recognition Dataset Summary
- 9. Food Log with Speech Recognition and NLP
- 10. DeepFashion: 服裝公開數據集概述