File size: 2,331 Bytes
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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.
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