diff --git a/src/notebooks/test.py b/src/notebooks/test.py
deleted file mode 100644
index 0121ce8..0000000
--- a/src/notebooks/test.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import torch
-from torchmetrics.detection.mean_ap import MeanAveragePrecision
-
-preds = [
-    dict(
-        boxes=torch.tensor(
-            [
-                [880.0560, 41.7845, 966.9839, 131.3355],
-                [1421.0029, 682.4420, 1512.7570, 765.2380],
-                [132.0775, 818.5026, 216.0825, 1020.8573],
-            ]
-        ),
-        scores=torch.tensor(
-            [0.9989, 0.9936, 0.0932],
-        ),
-        labels=torch.tensor(
-            [1, 1, 1],
-        ),
-    )
-]
-target = [
-    dict(
-        boxes=torch.tensor(
-            [[879, 39, 1513, 766]],
-        ),
-        labels=torch.tensor(
-            [1],
-        ),
-    )
-]
-metric = MeanAveragePrecision()
-metric.update(preds, target)
-
-from pprint import pprint
-
-pprint(metric.compute())
-
-# --------------------------------------------------------------------------
-
-preds = [
-    dict(
-        boxes=torch.tensor(
-            [
-                [880.0560, 41.7845, 1500, 700.3355],
-            ]
-        ),
-        scores=torch.tensor(
-            [0.9989],
-        ),
-        labels=torch.tensor(
-            [1],
-        ),
-    )
-]
-target = [
-    dict(
-        boxes=torch.tensor(
-            [[879, 39, 1513, 766]],
-        ),
-        labels=torch.tensor(
-            [1],
-        ),
-    )
-]
-metric = MeanAveragePrecision()
-metric.update(preds, target)
-
-from pprint import pprint
-
-pprint(metric.compute())