nyuuzyou/stickers
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--- task_categories: - image-classification license: wtfpl --- # Telegram Stickers Image Classification Dataset This dataset consists of a collection of Telegram stickers that have been converted into images for the purpose of image classification. ## Dataset Details - Image Size: 512x512 pixels - Number of Classes: 1276 - Total Number of Images: 672,911 The dataset was created by extracting stickers from 23,681 sets of stickers in Telegram. Animated and video stickers were removed, and sets that had only one emoji assigned to all stickers were ignored. Stickers that did not fit the 512x512 size were padded with empty pixels. Furthermore, all stickers were converted to the .png format to ensure consistency. The class names for the stickers were assigned based on the Unicode emoji given to them by the author. For example, the Unicode U+1F917 represents the 🤗 emoji. Each sticker in the dataset is labeled with the corresponding Unicode code as its class. The name of each image in the dataset corresponds to the file ID of the sticker in Telegram. This unique identifier can be used to reference the original sticker in the Telegram platform. ## Dataset Split - Training Set: - Number of Images: 605,043 - Validation Set: - Number of Images: 33,035 - Test Set: - Number of Images: 34,833 ### Additional Information The training set `train.zip` has been divided into multiple parts, each of which is approximately 20 GB in size. To extract the dataset, you will need a program that supports extracting split archives, such as 7z. In the `dataset_resized` folder, you will find the resized version of the dataset. The images in this folder have been resized to 128x128 pixels. Please note that the original dataset provided is in the format of 512x512-pixel images, while the `dataset_resized` folder contains the resized images of 128x128 pixels.
任务类别：图像分类（image-classification） 许可证：WTFPL --- # Telegram贴纸图像分类数据集 本数据集包含一系列经转换为图像格式的Telegram贴纸，用于图像分类任务。 ## 数据集详情 - 图像尺寸：512×512像素 - 类别数量：1276个 - 总图像数：672911张 该数据集通过从Telegram平台的23681个贴纸套装中提取贴纸构建而成。我们移除了动图贴纸与视频贴纸，并忽略了所有贴纸仅对应单个表情的套装。对于尺寸不符合512×512像素的贴纸，我们通过填充空白像素完成统一化处理。此外，所有贴纸均被转换为.png格式以确保数据一致性。 贴纸的类别名称基于作者为其分配的Unicode表情符号确定。例如，Unicode编码U+1F917对应🤗表情符号。数据集中的每张贴纸均以其对应的Unicode编码作为类别标签。 数据集中每张图像的文件名对应其在Telegram平台中的贴纸文件ID，该唯一标识符可用于在Telegram平台中追溯原始贴纸。 ## 数据集划分 - 训练集： - 图像数量：605043张 - 验证集： - 图像数量：33035张 - 测试集： - 图像数量：34833张 ### 补充说明 训练集`train.zip`已拆分为多个分卷，每个分卷大小约为20GB。如需解压该数据集，需使用支持分卷压缩包解压的工具，例如7-Zip。 在`dataset_resized`文件夹中，提供了本数据集的缩小版：其中的图像均被调整至128×128像素尺寸。 请注意，原始数据集为512×512像素的图像格式，而`dataset_resized`文件夹中则包含128×128像素的压缩版图像。
Telegram Stickers Image Classification Dataset 概述
数据集基本信息
- 任务类别: 图像分类
- 许可证: WTFPL
数据集详细信息
- 图像尺寸: 512x512像素
- 类别数量: 1276
- 总图像数量: 672,911
数据集创建过程
- 数据集由Telegram中的23,681套贴纸提取而成。
- 动画和视频贴纸被移除，所有贴纸均转换为.png格式。
- 不符合512x512尺寸的贴纸通过填充空白像素进行调整。
- 每个贴纸的类别名称基于作者赋予的Unicode表情符号。
数据集分割
- 训练集:
- 图像数量: 605,043
- 验证集:
- 图像数量: 33,035
- 测试集:
- 图像数量: 34,833
附加信息
- 训练集
train.zip分为多个部分，每个部分约20GB。 dataset_resized文件夹包含尺寸调整为128x128像素的图像。
注意事项
- 原始数据集提供的是512x512像素的图像，而
dataset_resized文件夹中的图像是128x128像素。
