adding all overfit models

app.py

@@ -96,9 +96,17 @@ st.write("Upload an image to process with the ONNX OpenLander model!")
 st.write("Bear in mind that this model is **much less refined** than the embedded models at the moment.")
 
 models = {    
-        "Embedded model short trained: DeeplabV3+, MobilenetV2, 416px resolution": "end2end.onnx",
         "Embedded model better trained: DeeplabV3+, MobilenetV2, 416px resolution": "20230608_onnx_416_mbnv2_dl3/end2end.onnx",
-	"Embedded model with massive overfitting: DV3+ MBv2, 416px": "export240k.onnx"
+	    "test model 24k: DV3+ MBv2, 416px": "test_24000.onnx",
+        "test model 48k: DV3+ MBv2, 416px": "test_48000.onnx",
+        "test model 72k: DV3+ MBv2, 416px": "test_72000.onnx",
+        "test model 96k: DV3+ MBv2, 416px": "test_96000.onnx",
+        "test model 120k: DV3+ MBv2, 416px": "test_120000.onnx",
+        "test model 144k: DV3+ MBv2, 416px": "test_144000.onnx",
+        "test model 168k: DV3+ MBv2, 416px": "test_168000.onnx",
+        "test model 192k: DV3+ MBv2, 416px": "test_192000.onnx",
+        "test model 216k: DV3+ MBv2, 416px": "test_216000.onnx",
+        "test model 240k: DV3+ MBv2, 416px": "test_240000.onnx"
         }