From 787da07d25983904a6d24e6e656f6a0b6a8ca29d Mon Sep 17 00:00:00 2001 From: sakshamgupta93 Date: Thu, 26 Dec 2019 22:24:51 +0400 Subject: [PATCH] Fixed a ninor typo issue. Might be useful Signed-off-by: sakshamgupta93 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b8ca69e..b01a008 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the [Oxford Hands Dataset](http://www.robots.ox.ac.uk/~vgg/data/hands/) (the results were not good). I then tried the [Egohands Dataset](http://vision.soic.indiana.edu/projects/egohands/) which was a much better fit to my requirements. -The goal of this repo/post is to demonstrate how neural networks can be applied to the (hard) problem of tracking hands (egocentric and other views). Better still, provide code that can be adapted to other uses cases. +The goal of this repo/post is to demonstrate how neural networks can be applied to the (hard) problem of tracking hands (egocentric and other views). Better still, provide code that can be adapted to other use cases. If you use this tutorial or models in your research or project, please cite [this](#citing-this-tutorial).