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Resnet152 FV Finetuned Memes
R
Resnet152 FV Finetuned Memes
Developed by jayanta
基於微軟ResNet-152架構微調的表情包分類模型，在圖像分類任務上表現良好。
Downloads 26
Release Time : 10/21/2022
Model Overview
該模型是基於微軟ResNet-152架構在表情包數據集上微調的圖像分類模型，主要用於表情包識別和分類任務。
Model Features
高準確率
在測試集上達到75.58%的準確率，表現良好。
微調優化
基於ResNet-152預訓練模型進行微調，適應表情包分類任務。
全面評估指標
提供準確率、精確率、召回率和F1值等多維度評估指標。
Model Capabilities
圖像分類
表情包識別
多類別分類
Use Cases
社交媒體
表情包自動分類
自動識別和分類社交媒體中的表情包圖片
準確率75.58%
內容審核
表情包內容過濾
識別和過濾不適當的表情包內容
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