diff --git a/zod/eval/detection/constants.py b/zod/eval/detection/constants.py
index 8567cb9..51b4719 100644
--- a/zod/eval/detection/constants.py
+++ b/zod/eval/detection/constants.py
@@ -2,5 +2,11 @@
 
 # Try to evaluate all classes, including subclasses.
 all_classes = set(OBJECT_CLASSES + OBJECT_SUBCLASSES)
-all_classes -= {"Unclear"}
+# Remove classes that
+all_classes -= {
+    "Unclear",
+    "Vehicle_Other",
+    "VulnerableVehicle_Other",
+    "VulnerableVehicle_Wheelchair",
+}
 EVALUATION_CLASSES = sorted(all_classes)
diff --git a/zod/eval/detection/eval_nuscenes_style.py b/zod/eval/detection/eval_nuscenes_style.py
index 010a175..64d8c9f 100644
--- a/zod/eval/detection/eval_nuscenes_style.py
+++ b/zod/eval/detection/eval_nuscenes_style.py
@@ -5,7 +5,6 @@
 from typing import Callable, Dict
 
 import numpy as np
-import tqdm
 
 from zod.eval.detection._nuscenes_eval.common.data_classes import EvalBoxes
 from zod.eval.detection._nuscenes_eval.common.utils import center_distance
@@ -95,12 +94,9 @@ def evaluate_nuscenes_style(
     }
 
     evaluated_clses = set(metrics[detection_cfg.dist_ths[0]].keys())
-    n_eval_steps = len(evaluated_clses) * len(detection_cfg.dist_ths)
-    pbar = tqdm.tqdm(total=n_eval_steps, desc="Evaluating...", unit="class")
     for zod_cls in evaluated_clses:
         # They evaluate the ap across all thresholds
         for dist_th in detection_cfg.dist_ths:
-            pbar.set_description(f"Evaluating {zod_cls} AP @ {dist_th:.2f}m...")
             detection_metrics.add_label_ap(
                 detection_name=zod_cls,
                 dist_th=dist_th,
@@ -108,11 +104,9 @@ def evaluate_nuscenes_style(
             )
         # They evaluate the tp across only one threshold
         for metric in VALID_TP_METRICS:
-            pbar.set_description(f"Evaluating {zod_cls} {metric}...")
             detection_metrics.add_label_tp(
                 zod_cls, metric, metrics[detection_cfg.dist_th_tp][zod_cls][metric]
             )
-        pbar.update(1)
 
     if verbose:
         _print_nuscenes_metrics(detection_metrics)