--- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH nUNNB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><h3>General</h3> +<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">Starting Points Chest X-Ray</h2></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH nUNNB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><h3>General</h3> <p>Since imageNet weights are not ideal as a starting point for this task. I have retrained the model on the chest X dataset. You can use the models here as a starting point for your training. that will significantly boost your CV and LB. Unfortunately, I will not share the trained models for two reasons.<br> 1- Keep the LB stable.<br> 2- A lot of Kagglers are just copying the notebook and using the weights. "which was really disappointing" </p>