emo-visual-data

Emoji Visual Annotation Dataset

CommonProductImageDatasetMultimodal Learning

emo-visual-data is a publicly available emoji visual annotation dataset. It collects 5329 emojis through visual annotation completed using the glm-4v and step-free-api projects. This dataset can be used to train and test multimodal large models and is crucial for understanding the relationship between image content and textual descriptions.

Collects 5329 emojis for visual annotation and multimodal learning.
Uses glm-4v api and step-free-api for image parsing and annotation.
Can be used to create intelligent agents and improve the accuracy of natural language processing and image recognition.
Provides a drawing interface for users to directly call and retrieve emojis.
Supports multimodal learning
helping models better understand images and text.
Provides complete file download links for easy access and use of the dataset.

This dataset is suitable for researchers and developers in the fields of natural language processing and computer vision
especially those focused on multimodal learning and image annotation. It can help them train smarter models and improve their understanding of image content.

Researchers use this dataset to train deep learning models to improve understanding of emojis in social media.
Developers leverage the dataset's image and text information to create applications that can automatically recognize and generate emojis.
Educational institutions use this dataset as teaching material to help students learn about image processing and natural language understanding.

Visit the emo-visual-data GitHub page to learn about the basic information and usage conditions of the dataset.
Choose the appropriate download method based on your needs
such as downloading the complete dataset file via Google Drive.
Read the README file to understand the dataset structure and how to use the files within the dataset.
Use the glm-free-api drawing interface to call and retrieve emojis

Visit

emo-visual-data Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

emo-visual-data Visit Trend

emo-visual-data Visit Geography

emo-visual-data Traffic Sources

emo-visual-data Alternatives

Florence-VL — Enhancement tool for visual language models, combining generative visual encoders and deep breadth fusion technology.

Programming•Visual Language Models•Multimodal Learning

OLMo 2 1124 13B Preference Mixture — Large-scale multilingual preference mixture dataset

Others•Dataset•Multilingual

dolmino-mix-1124 — A high-quality dataset for the second phase of OLMo2 training.

Programming•Dataset•Natural Language Processing

Llama3-s v0.2 — Latest multimodal checkpoint to enhance speech comprehension capabilities.

Programming•Speech Recognition•Natural Language Processing

186

MedTrinity-25M — A large-scale multimodal medical dataset

Others•Medical Imaging•Multimodal

552

llama3-s — An open-source language model currently being trained, equipped with 'hearing' capabilities.

Programming•Natural Language Processing•Machine Learning

102

ImageInWords — A model for generating highly detailed image descriptions, designed for training visual language models.

Image•Artificial Intelligence•Image Recognition

240

WildChat — A corpus composed of real-world user interactions with ChatGPT.

InternationalSelection•Chatbot•Dataset

336

llava-llama-3-8b-v1_1 — A LLaVA model optimized by XTuner, which combines image and text processing capabilities.

Programming•Artificial Intelligence•Multimodal Learning

420

FineWeb — High-quality English webpage dataset

Programming•Natural Language Processing•Dataset

330

MNBVC — MNBVC is a massive Chinese corpus comparable to the 40T data used to train ChatGPT.

OpenSource•Natural Language Processing•Chinese Language Dataset

282

En3D — 3D Character Generation Model

Productivity•Natural Language Processing•Model

174

Distil-Whisper — A collection of models and datasets.

Productivity•Model•Dataset

588

RoleLLM — Role-playing framework for large language models

Entertainment•Natural Language Processing•Role-Playing

1836

I2VGen-XL — AI Model Library and Dataset Platform

Productivity•AI Model•Dataset

5352

Inst-Inpaint — An image restoration algorithm based on natural language input

Image•Image Restoration•Natural Language Processing

4548

Large Concept Models — Language modeling in the sentence representation space

Programming•Natural Language Processing•Multilingual

OmniAudio-2.6B — The fastest edge-deployed audio language model in the world.

Productivity•Audio Processing•Edge Computing

DeepSeek-VL2-Small — An advanced large-scale mixture of experts visual language model.

Image•Visual Question Answering•Optical Character Recognition

DeepSeek-VL2-Tiny — Advanced Large-scale Mixture of Experts Visual Language Model

Image•Visual Language Model•Mixture of Experts

Megrez-3B-Omni — Open-source full-modal understanding model for edge deployment

Productivity•Full-modal understanding•Image recognition

Q-RWKV-6 32B Instruct Preview — The most powerful variant of the RWKV model, breaking multiple English benchmark tests.

Programming•Machine Learning•Natural Language Processing

CosyVoice Speech Generation Model 2.0-0.5B — Efficient, multilingual speech synthesis model

Music•Speech Synthesis•Artificial Intelligence

114

WePOINTS — WePOINTS project offers a unified framework for multimodal models.

Programming•Multimodal•Artificial Intelligence

RapBank — The first rap music generation dataset

Music•Rap Music•Dataset

tulu-3-sft-olmo-2-mixture — A large-scale multilingual text dataset.

Others•Multilingual•Text Dataset

Best AI Websites & Tools