nyuuzyou
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First model version
Browse files- README.md +34 -0
- best.pt +3 -0
- examples/1.png +0 -0
- examples/2.png +0 -0
- examples/3.png +0 -0
- examples/4.png +0 -0
- examples/5.png +0 -0
README.md
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---
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co2_eq_emissions:
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emissions: 851
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source: "codecarbon"
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geographical_location: "Moscow, Russia. Selectel ru-7a"
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hardware_used: "1 A2000 GPU"
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license: wtfpl
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tags:
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- image-classification
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---
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# Telegram Stickers Classification Model
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This repository contains a pre-trained image classification model based on the YOLOv8m-cls for classifying Telegram stickers.
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## Model Details
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- Model Size: 128x128 pixels
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- Number of Classes: 1276
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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 π€ emoji.
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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.
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- Example images:
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![Example image 1](https://huggingface.co/nyuuzyou/stickers/resolve/main/examples/1.png)
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- U+1F604 0.12, U+1F606 0.10, U+1F602 0.07, U+1F601 0.06, U+1F603 0.04 (π 0.12, π 0.10, π 0.07, π 0.06, π 0.04)
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![Example image 2](https://huggingface.co/nyuuzyou/stickers/resolve/main/examples/2.png)
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- U+1F52B 0.61, U+1F621 0.02, U+1F31F 0.02, U+1F497 0.01, U+1F620 0.01 (π« 0.61, π‘ 0.02, π 0.02, π 0.01, π 0.01)
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![Example image 3](https://huggingface.co/nyuuzyou/stickers/resolve/main/examples/3.png)
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- U+1F610 0.25, U+1F642 0.23, U+1F431 0.05, U+1F60A 0.04, U+1F633 0.04 (π 0.25, π 0.23, π± 0.05, π 0.04, π³ 0.04)
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![Example image 4](https://huggingface.co/nyuuzyou/stickers/resolve/main/examples/4.png)
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- U+1F601 0.29, U+1F604 0.09, U+1F605 0.08, U+270C 0.05, U+1F33B 0.03 (π 0.29, π 0.09, π
0.08, β 0.05, π» 0.03)
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![Example image 5](https://huggingface.co/nyuuzyou/stickers/resolve/main/examples/5.png)
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- U+1F62D 0.34, U+1F622 0.20, U+1F97A 0.09, U+1F5A4 0.04, U+1F614 0.03 (π 0.34, π’ 0.20, π₯Ί 0.09, π€ 0.04, π 0.03)
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:96cfdcd69a96298054dab7cfc8d0a51d250e376dc2dc685d09596de2c2f6e1f0
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size 34967992
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examples/1.png
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examples/2.png
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examples/3.png
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examples/4.png
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examples/5.png
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