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模型仅对示例的prompt有较好效果 #15
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你好,感谢你的兴趣与问题。
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感谢您的回复! |
By the way,如果你需要得到一个离散的分数 (比如1-10),而不是一段描述,可以参考这篇文章,Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels。 |
好的,我学习一下,感谢!
好的,我学习一下,感谢! |
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作者您好,我有个需求是对图像的多个质量维度进行1-10分的评分,分数越高质量越好,且已有一批标注数据。
1.请问我应该怎么组织我的训练数据以得到下列我想要的结果格式,例如:
"图像1": {"清晰度": "8", "透彻性": "8", "白平衡": "7"}}
2.主观打分的时候有两套标准,一套是基于参照图片打的相对分数,输入为参考图片和待打分图片;一套是无参考图片,基于历史经验打得绝对分数,输入为一张待打分图片。请问模型能否感知图像底层视觉,将质量和分数及多个评分标准对应
3.目前评估模型准确率的metric是什么啊,自然语言的相似度吗,如果我希望模型评分尽可能接近主观评分,应该如何修改metric.
如果您能提供一些建议,将万分感谢!
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