From baa4fcd815aef0093a40fab6ce4a6f807c91f071 Mon Sep 17 00:00:00 2001
From: Stavros <piperakis@protonmaiil.com>
Date: Sun, 2 Jul 2023 19:51:03 +0300
Subject: [PATCH] Minor changes on readme
---
README.md | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/README.md b/README.md
index 8fd9dfb..bc49655 100644
--- a/README.md
+++ b/README.md
@@ -34,15 +34,15 @@ SignTrack harnesses the power of a state-of-the-art LSTM (Long Short-Term Memory
We prioritize making data collection user-friendly, even for non-coders. Our interface is easy to navigate, ensuring a seamless experience.
-Data is crucial for exceptional model performance. Our program generates training data and aids users in creating accurate models. With breaks between sessions and an intuitive design, anyone can create a high-quality training dataset. Continuous optimization empowers developers to build custom models that meet their needs. SignTrack DataCollect is now smoother and more reliable.
+With its recent updates, SignTrack DataCollect has undergone significant improvements, resulting in a seamlessly streamlined experience. The enhanced reliability and smooth functionality of the platform empower developers, allowing them to effortlessly create high-quality training datasets and build custom models that precisely cater to their unique requirements.
-Before saving a sequence in the dataset, SignTrack employs a verification process to ensure that hands are visible within the frame. This approach eliminates unnecessary data and enhances the overall quality and accuracy of the collected dataset.
+Before saving a sequence in the dataset, SignTrack employs a verification process to enasure that hands are visible within the frames. This approach eliminates unnecessary data and enhances the overall quality and accuracy of the collected dataset.
-Another standout feature is dynamic image flipping, generating data that simulates signing with the opposite hand. This enables unparalleled accuracy and versatility, ensuring precise predictions for both hands across all signing variations.
+Another standout feature is image flipping, generating data that simulates signing with the opposite hand. This enables unparalleled accuracy and versatility, ensuring precise predictions for both hands across all signing variations.
-Privacy is a top priority. SignTrack maintains data privacy by excluding personal information and identifiers.
+Privacy is a top priority. SignTrack maintains privacy by excluding personal information and unique biometric data from the dataset.
-SignTrack DataCollect offers a comprehensive solution: user-friendly interface, robust data collection capabilities and advanced augmentation techniques. SignTrack empowers developers to create accurate and inclusive sign language recognition models tailored to their application requirements.
+SignTrack DataCollect offers a comprehensive solution: user-friendly interface, robust data collection capabilities and enables advanced augmentation techniques. SignTrack empowers developers to create accurate and inclusive sign language recognition models tailored to their application requirements.
<p align="center">
<img src="Assets/readme/Collecting1.gif">
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