From fd7ce1c0f7eead0835525b9e7061a1e901e431a4 Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Thu, 17 Oct 2019 15:59:28 +0800 Subject: [PATCH] refine quick_start doc (#3636) --- docs/QUICK_STARTED.md | 2 +- docs/QUICK_STARTED_cn.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/QUICK_STARTED.md b/docs/QUICK_STARTED.md index 5b687b35e..c6649f71f 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 78c019a6b..8c02ffb79 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 -- GitLab