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@@ -3468,8 +3468,8 @@ <h3 id="eva.vision.data.datasets.ImageSegmentation.load_image" class="doc doc-he
 
 
 
-<h3 id="eva.vision.data.datasets.ImageSegmentation.load_masks" class="doc doc-heading">
-<code class="doc-symbol doc-symbol-heading doc-symbol-method"></code>          <code class="highlight language-python"><span class="n">load_masks</span></code>
+<h3 id="eva.vision.data.datasets.ImageSegmentation.load_mask" class="doc doc-heading">
+<code class="doc-symbol doc-symbol-heading doc-symbol-method"></code>          <code class="highlight language-python"><span class="n">load_mask</span></code>
 
   <span class="doc doc-labels">
       <small class="doc doc-label doc-label-abstractmethod"><code>abstractmethod</code></small>
@@ -3529,7 +3529,7 @@ <h3 id="eva.vision.data.datasets.ImageSegmentation.load_masks" class="doc doc-he
           </td>
           <td>
             <div class="doc-md-description">
-              <p>The sample masks as a stack of binary torchvision mask</p>
+              <p>The semantic mask as a (H x W) shaped tensor with integer</p>
             </div>
           </td>
         </tr>
@@ -3539,7 +3539,7 @@ <h3 id="eva.vision.data.datasets.ImageSegmentation.load_masks" class="doc doc-he
           </td>
           <td>
             <div class="doc-md-description">
-              <p>tensors (label, height, width).</p>
+              <p>values which represent the pixel class id.</p>
             </div>
           </td>
         </tr>
@@ -3559,15 +3559,15 @@ <h3 id="eva.vision.data.datasets.ImageSegmentation.load_masks" class="doc doc-he
 <span class="normal"><a href="#__codelineno-0-67">67</a></span>
 <span class="normal"><a href="#__codelineno-0-68">68</a></span>
 <span class="normal"><a href="#__codelineno-0-69">69</a></span></pre></div></td><td class="code"><div><pre><span></span><code><span id="__span-0-59"><a id="__codelineno-0-59" name="__codelineno-0-59"></a><span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
-</span><span id="__span-0-60"><a id="__codelineno-0-60" name="__codelineno-0-60"></a><span class="k">def</span> <span class="nf">load_masks</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">index</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">tv_tensors</span><span class="o">.</span><span class="n">Mask</span><span class="p">:</span>
+</span><span id="__span-0-60"><a id="__codelineno-0-60" name="__codelineno-0-60"></a><span class="k">def</span> <span class="nf">load_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">index</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">tv_tensors</span><span class="o">.</span><span class="n">Mask</span><span class="p">:</span>
 </span><span id="__span-0-61"><a id="__codelineno-0-61" name="__codelineno-0-61"></a><span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns the `index`&#39;th target masks sample.</span>
 </span><span id="__span-0-62"><a id="__codelineno-0-62" name="__codelineno-0-62"></a>
 </span><span id="__span-0-63"><a id="__codelineno-0-63" name="__codelineno-0-63"></a><span class="sd">    Args:</span>
 </span><span id="__span-0-64"><a id="__codelineno-0-64" name="__codelineno-0-64"></a><span class="sd">        index: The index of the data sample target masks to load.</span>
 </span><span id="__span-0-65"><a id="__codelineno-0-65" name="__codelineno-0-65"></a>
 </span><span id="__span-0-66"><a id="__codelineno-0-66" name="__codelineno-0-66"></a><span class="sd">    Returns:</span>
-</span><span id="__span-0-67"><a id="__codelineno-0-67" name="__codelineno-0-67"></a><span class="sd">        The sample masks as a stack of binary torchvision mask</span>
-</span><span id="__span-0-68"><a id="__codelineno-0-68" name="__codelineno-0-68"></a><span class="sd">        tensors (label, height, width).</span>
+</span><span id="__span-0-67"><a id="__codelineno-0-67" name="__codelineno-0-67"></a><span class="sd">        The semantic mask as a (H x W) shaped tensor with integer</span>
+</span><span id="__span-0-68"><a id="__codelineno-0-68" name="__codelineno-0-68"></a><span class="sd">        values which represent the pixel class id.</span>
 </span><span id="__span-0-69"><a id="__codelineno-0-69" name="__codelineno-0-69"></a><span class="sd">    &quot;&quot;&quot;</span>
 </span></code></pre></div></td></tr></table></div>
           </details>