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Platzi Vit Model Joaquin Romero
基於Google Vision Transformer(ViT)架構微調的豆類葉片疾病分類模型
Downloads 18
Release Time : 3/18/2023
Model Overview
該模型是基於google/vit-base-patch16-224-in21k在豆類數據集上微調的圖像分類模型，主要用於識別豆類葉片的健康狀況和疾病類型。
Model Features
高準確率
在驗證集上達到98.5%的分類準確率
高效微調
基於預訓練ViT模型進行高效微調，僅需少量訓練數據
農業應用
專門針對豆類作物葉片疾病檢測優化
Model Capabilities
圖像分類
植物疾病識別
健康葉片檢測
Use Cases
農業科技
豆類疾病自動診斷
通過拍攝豆類葉片照片自動識別是否存在疾病
可準確區分健康葉片和豆鏽病葉片
農作物健康監測
用於大規模農場中作物健康狀況的自動化監測
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