44{% block content %}
55 < section class ="section container ">
66 < div class ="section-header ">
7- < h1 > {{ challenge.name }} Challenge {% if challenge.locked %}[Closed]{% endif %}</ h1 >
7+ < h1 > MILK10k Benchmark {% if challenge.locked %}[Closed]{% endif %}</ h1 >
88 </ div >
99
1010 < div class ="section-content ">
@@ -16,7 +16,7 @@ <h3 class="subtitle is-4 has-text-white mb-4">Get Started</h3>
1616 < span class ="icon ">
1717 < i class ="material-icons "> upload</ i >
1818 </ span >
19- < span > < strong > Submit to Challenge </ strong > </ span >
19+ < span > < strong > Submit to leaderboard </ strong > </ span >
2020 </ a >
2121 < a href ="{% url 'data' %}#milk10k " class ="button is-white is-medium ">
2222 < span class ="icon ">
@@ -40,7 +40,7 @@ <h2>Summary</h2>
4040 < li > Metadata (more detail below)</ li >
4141 </ ul >
4242 < p >
43- This live challenge features the MILK10k training dataset (5,240 lesions) and a blind
43+ This benchmark features the MILK10k training dataset (5,240 lesions) and a blind
4444 held-out test dataset (479 lesions) called the MILK10k Benchmark.
4545 </ p >
4646 </ div >
@@ -174,7 +174,7 @@ <h2>Evaluation</h2>
174174 < div id ="datasets ">
175175 < h2 > Datasets</ h2 >
176176 < p >
177- This live challenge features the MILK10k Benchmark dataset, comprising 958 images —
177+ This benchmark features the MILK10k Benchmark dataset, comprising 958 images —
178178 specifically, close-up and dermatoscopic image pairs for 479 skin lesions. The benchmark
179179 dataset originates from the same sources as the original
180180 < a href ="https://doi.org/10.34970/262082 "> MILK10k</ a > and covers the same eleven
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