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# 圖像質量評估
Q Sit
MIT
Q-SiT Mini是一個輕量級的圖像質量評估與對話模型，專注於圖像質量分析和評分。
圖像生成文本
Transformers
TransformersQ
zhangzicheng
79
0
Deqa Score Mix3
MIT
DeQA-Score-Mix3是基於MAGAer13/mplug-owl2-llama2-7b基礎模型微調的無參考圖像質量評估模型，在多個數據集上表現出色。
圖像生成文本 Transformers English
Transformers EnglishD
zhiyuanyou
4,177
2
Compare2score
MIT
Compare2Score是一個用於圖像質量評估的模型，通過特定算法為圖像提供質量評分。
圖像增強 Transformers
TransformersC
q-future
391
4
Co Instruct
Co-Instruct是一個視覺-語言模型，專注於圖像文本生成文本任務，能夠分析圖像內容並生成相關文本描述或回答關於圖像的問題。
圖像生成文本 Transformers
TransformersC
q-future
470
19
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Cadet-Tiny是一個基於SODA數據集訓練的超小型對話模型，專為邊緣設備推理設計，體積僅為Cosmo-3B模型的2%左右。
對話系統 Transformers English
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基於RoBERTa架構的中文抽取式問答模型，適用於從給定文本中提取答案的任務。
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