---
annotations_creators: []
language: en
license: cc-by-4.0
size_categories:
- 1K<n<10K
task_categories:
- image-feature-extraction
task_ids: []
pretty_name: Emojis
tags:
- fiftyone
- image
dataset_summary: >



  ![image/png](dataset_preview.gif)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1816
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("jamarks/emojis")


  # Launch the App

  session = fo.launch_app(dataset)

  ```
---

# Dataset Card for Emojis

<!-- Provide a quick summary of the dataset. -->




![image/png](dataset_preview.gif)


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1816 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("jamarks/emojis")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** Jacob Marks
- **Language(s) (NLP):** en
- **License:** cc-by-4.0

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Demo:** https://try.fiftyone.ai/datasets/emojis/samples


## Dataset Creation

### Curation Rationale

Emojis sit at the intersection between textual and visual, providing a fascinating test-bed for exploring multimodal search and reranking techniques. This dataset was constructed to facilitate these experiments. For connected projects, check out:

- [Emoji Search CLI Library](https://github.com/jacobmarks/emoji_search)
- [Semantic Emoji Search Plugin for FiftyOne](https://github.com/jacobmarks/emoji-search-plugin)

### Source Data

Samples in this dataset were constructed from rows in the Kaggle [Full Emoji Image Dataset](https://www.kaggle.com/datasets/subinium/emojiimage-dataset)

#### Data Collection and Processing

The base64-encoded images in the original csv were upscaled by 10x using [Real-ESRGAN](https://replicate.com/nightmareai/real-esrgan).

OpenAI's CLIP-VIT-B/32 model was used to embed these images (vision encoder), the emoji names (text encoder), and the unicode sequences (text encoder). These embeddings were used to construct [Brain Runs](https://docs.voxel51.com/user_guide/brain.html) for performing similarity and semantic searches, as well as visualizing the structure of the dataset using UMAP dimensionality reduction.

## Dataset Card Authors

[Jacob Marks](https://huggingface.co/jamarks)