提交 fd7ce1c0 编写于 作者: W wangguanzhong 提交者: GitHub

refine quick_start doc (#3636)

上级 28c90f86
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# Quick Start
This tutorial fine-tunes a tiny dataset by pretrained detection model for users to get a model and learn PaddleDetection quickly. The model can be trained in around 15min with good performance.
This tutorial fine-tunes a tiny dataset by pretrained detection model for users to get a model and learn PaddleDetection quickly. The model can be trained in around 20min with good performance.
## Data Preparation
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# 快速开始
为了使得用户能够在很短的时间内快速产出模型,掌握PaddleDetection的使用方式,这篇教程通过一个预训练检测模型对小数据集进行finetune。在P40上单卡大约15min即可产出一个效果不错的模型。
为了使得用户能够在很短的时间内快速产出模型,掌握PaddleDetection的使用方式,这篇教程通过一个预训练检测模型对小数据集进行finetune。在P40上单卡大约20min即可产出一个效果不错的模型。
## 数据准备
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