diff --git a/docs/QUICK_STARTED.md b/docs/QUICK_STARTED.md index 5b687b35e72718be939b83299a5e9a799d6f5e79..c6649f71f7b41c2fda00141e20c16dffc1f93e40 100644 --- a/docs/QUICK_STARTED.md +++ b/docs/QUICK_STARTED.md @@ -2,7 +2,7 @@ English | [简体中文](QUICK_STARTED_cn.md) # 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 diff --git a/docs/QUICK_STARTED_cn.md b/docs/QUICK_STARTED_cn.md index 78c019a6bfe7bcb82ca5a42ea9d65cf26f397aeb..8c02ffb798250a0fa29db02ab7e4b38f04e4daac 100644 --- a/docs/QUICK_STARTED_cn.md +++ b/docs/QUICK_STARTED_cn.md @@ -2,7 +2,7 @@ # 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