This repository contains a pre-trained image classification model based on the YOLOv8m-cls for classifying Telegram stickers.
Model Details
Model Size: 128x128 pixels
Number of Classes: 1276
The training set contained 605,043 sticker images, each labeled with the Unicode code assigned to it based on the emoji representation provided by the author. For example, the Unicode U+1F917 represents the 🤗 emoji.
The dataset was created by extracting stickers from a total of 23,681 sets of stickers in Telegram. Sets that had only one emoji assigned to all stickers were not included in the dataset. This ensures a diverse range of stickers with different visual characteristics.
