Image Classification
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First model version

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  1. README.md +34 -0
  2. best.pt +3 -0
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README.md ADDED
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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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+
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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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+
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+ ## Model Details
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+
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+ - Model Size: 128x128 pixels
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+ - Number of Classes: 1276
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+
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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 πŸ€— 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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+
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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 (πŸ˜„ 0.12, πŸ˜† 0.10, πŸ˜‚ 0.07, 😁 0.06, πŸ˜ƒ 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 (πŸ”« 0.61, 😑 0.02, 🌟 0.02, πŸ’— 0.01, 😠 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 (😐 0.25, πŸ™‚ 0.23, 🐱 0.05, 😊 0.04, 😳 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 (😁 0.29, πŸ˜„ 0.09, πŸ˜… 0.08, ✌ 0.05, 🌻 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 (😭 0.34, 😒 0.20, πŸ₯Ί 0.09, πŸ–€ 0.04, πŸ˜” 0.03)
best.pt ADDED
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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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