Initial SAILOR weights

mix/dl_model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0eb8b7f1ddca4b83db5236674e7fcde792db3fc350dc9d5df698f9f899119d64
+size 5006975

mix/dl_model_mix_metrics

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+Confusion matrix:
+TN: 130967
+FP: 156
+FN: 635
+TP: 37703
+
+Accuracy: 0.9953322593399071
+Precision Score: 0.9958794474233339
+Recall Score: 0.9834367989983828
+F1 Score: 0.9896190138719372

mix/dl_model_motfront_metrics

@@ -0,0 +1,10 @@
+Confusion matrix:
+TN: 80018
+FP: 88
+FN: 138
+TP: 36411
+
+Accuracy: 0.998062663409198
+Precision Score: 0.9975889750404121
+Recall Score: 0.99622424690142
+F1 Score: 0.9969061439053774

mix/dl_model_nuScenes_metrics

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+Confusion matrix:
+TN: 50949
+FP: 68
+FN: 497
+TP: 1292
+
+Accuracy: 0.9893004582812559
+Precision Score: 0.95
+Recall Score: 0.7221911682504192
+F1 Score: 0.8205779612575421

motfront/dl_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:559bb5f48d0953fc450f61f039cceee812be462c2e25a8f66585453ab9bd6c4b
+size 5006975

motfront/dl_model_motfront_metrics

@@ -0,0 +1,10 @@
+Confusion matrix:
+TN: 80037
+FP: 69
+FN: 179
+TP: 36370
+
+Accuracy: 0.9978740731215979
+Precision Score: 0.9981064244353577
+Recall Score: 0.9951024651837259
+F1 Score: 0.9966021811804681

motfront/dl_model_nuScenes_metrics

@@ -0,0 +1,10 @@
+Confusion matrix:
+TN: 51017
+FP: 0
+FN: 588
+TP: 1201
+
+Accuracy: 0.9888649017157142
+Precision Score: 1.0
+Recall Score: 0.6713247624371157
+F1 Score: 0.8033444816053512

nuScenes/dl_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41725293aea694f285f251d69edf30a8248fd21f38fd29cafa49f987ac609db6
+size 5006975

nuScenes/dl_model_motfront_metrics

@@ -0,0 +1,10 @@
+Confusion matrix:
+TN: 79404
+FP: 702
+FN: 3152
+TP: 33397
+
+Accuracy: 0.966962410526767
+Precision Score: 0.9794128860083874
+Recall Score: 0.913759610386057
+F1 Score: 0.9454478541501529

nuScenes/dl_model_nuScenes_metrics

@@ -0,0 +1,10 @@
+Confusion matrix:
+TN: 50825
+FP: 192
+FN: 104
+TP: 1685
+
+Accuracy: 0.9943945763738969
+Precision Score: 0.8977091102823654
+Recall Score: 0.9418669647847959
+F1 Score: 0.9192580469176213