--- license: other tags: - icons8 - icons - images - computer-vision task_categories: - image-classification configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: name dtype: string - name: common_name dtype: string - name: category dtype: string - name: category_name dtype: string - name: subcategory dtype: string - name: platform dtype: string - name: is_color dtype: bool - name: is_animated dtype: bool - name: is_explicit dtype: bool - name: author_api_code dtype: string - name: image dtype: image splits: - name: train num_bytes: 196951560 num_examples: 24910 download_size: 140838955 dataset_size: 196951560 --- # Icons8 Icons Dataset Icons scraped from the [Icons8](https://icons8.com) public catalog, organized by category. ## Schema | column | type | description | |----------------|---------|------------------------------------------------| | id | string | Icons8 icon id | | name | string | Icon name | | common_name | string | Common slug name | | category | string | Category path (e.g. `Business_Ecommerce`) | | category_name | string | Category display name | | subcategory | string | Subcategory | | platform | string | Style/platform (e.g. `ios7`, `color`) | | is_color | bool | Whether icon is colored | | is_animated | bool | Whether icon is animated | | is_explicit | bool | Explicit content flag | | author_api_code| string | Author API code | | image | image | 256x256 RGBA PNG | ## Usage ```python from datasets import load_dataset ds = load_dataset("dev3Masud/icons8", split="train") # Filter by category business = ds.filter(lambda r: r["category"] == "Business") ``` ## Notes - Built from the Icons8 public search API (best-effort coverage of the catalog). - Images are 256x256 PNG.