Datasets:
Tasks:
Image Feature Extraction
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 2,919 Bytes
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---
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: >
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. -->
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) |