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Resnet 50 4 32
R
Resnet 50 4 32
Developed by Celal11
基於microsoft/resnet-50微調的圖像分類模型，在評估集上準確率達到64.1%
Downloads 26
Release Time : 2/11/2023
Model Overview
該模型是基於ResNet-50架構的微調版本，主要用於圖像分類任務。在原始模型基礎上通過特定數據集訓練，提升了在目標領域的分類性能。
Model Features
高效圖像分類
基於ResNet-50架構，提供高效的圖像分類能力
微調優化
在特定數據集上進行微調，提升了目標領域的分類準確率
中等規模模型
平衡了模型大小和性能，適合多種應用場景
Model Capabilities
圖像分類
特徵提取
Use Cases
計算機視覺
物體識別
識別圖像中的特定物體或場景
在評估集上達到64.1%的準確率
圖像分類系統
構建自動圖像分類系統
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