diff --git a/client/e2e/resources.json b/client/e2e/resources.json
index b440cf25..e0f3d148 100644
--- a/client/e2e/resources.json
+++ b/client/e2e/resources.json
@@ -2725,7 +2725,7 @@
   "imageNetNotAnnotated": {
     "path": "datasets/imagenet_notannotated_200.zip",
     "name": "ImageNetNotAnnotated",
-    "format": "ImageNet",
+    "format": "Not Annotated",
     "type": "dataset",
     "accuracyData": {
       "type": "Not Annotated",
diff --git a/client/e2e/src/accuracy-reports.e2e-spec.ts b/client/e2e/src/accuracy-reports.e2e-spec.ts
index 382b1775..bbbf4653 100644
--- a/client/e2e/src/accuracy-reports.e2e-spec.ts
+++ b/client/e2e/src/accuracy-reports.e2e-spec.ts
@@ -271,7 +271,7 @@ describe('UI tests on Accuracy Reports', () => {
     }
   );
 
-  // TODO: 70558, 83248
+  // TODO: 70558
   xit(
     'should download a semantic segmentation model (deeplabv3), not-annotated dataset' +
       'int8 calibration, check that predictions comparison is available and that tensor comparison is available, ' +
@@ -323,7 +323,7 @@ describe('UI tests on Accuracy Reports', () => {
     }
   );
 
-  // TODO: 73953, 83248
+  // TODO: 73953
   xit(
     'should create a project with a generic model, calibrate it, configure accuracy (OD), ' +
       'create accuracy report (predictions comparison)',
@@ -374,7 +374,7 @@ describe('UI tests on Accuracy Reports', () => {
     }
   );
 
-  // TODO: 73953, 83248
+  // TODO: 73953
   xit(
     'should create a project with a generic model and not-annotated dataset, calibrate, ' +
       'create another project with annotated dataset, ' +
@@ -448,7 +448,7 @@ describe('UI tests on Accuracy Reports', () => {
     }
   );
 
-  // TODO: 73953, 83248
+  // TODO: 73953
   xit(
     'should create a project with a classification model & ' +
       'not-annotated dataset, calibrate it, create accuracy report (predictions comparison), ' +
diff --git a/client/e2e/src/int8-basic-cases.e2e-spec.ts b/client/e2e/src/int8-basic-cases.e2e-spec.ts
index 1c16a62f..2a198a86 100644
--- a/client/e2e/src/int8-basic-cases.e2e-spec.ts
+++ b/client/e2e/src/int8-basic-cases.e2e-spec.ts
@@ -32,11 +32,10 @@ describe('UI tests on Running Int8 Calibration', () => {
     datasetFileVOC.name = testUtils.helpers.generateName();
     datasetFileImageNet.name = testUtils.helpers.generateName();
     notAnnotatedDataset.name = testUtils.helpers.generateName();
-    await testUtils.uploadDataset(datasetFileVOC);
-    await testUtils.uploadDataset(datasetFileImageNet);
-    await testUtils.uploadDataset(datasetWiderFace);
-    // TODO: 83248
-    // await testUtils.uploadDataset(notAnnotatedDataset);
+    // await testUtils.uploadDataset(datasetFileVOC);
+    // await testUtils.uploadDataset(datasetFileImageNet);
+    // await testUtils.uploadDataset(datasetWiderFace);
+    await testUtils.uploadDataset(notAnnotatedDataset);
     // TODO: 73948
     // await testUtils.uploadDataset(datasetCityScapes);
   });
@@ -54,7 +53,7 @@ describe('UI tests on Running Int8 Calibration', () => {
     await calibrationUtils.runInt8PipelineThroughUpload(modelFile, datasetFileVOC, inferenceTarget);
   });
 
-  // TODO: 76569, 83248
+  // TODO: 76569
   xit(
     'Upload FP32 Mobilenet SSD Lite V2, use Not Annotated dataset, ' +
       'infer (CPU), int8 calibrate - Simplified Mode, infer (CPU)',
@@ -65,8 +64,7 @@ describe('UI tests on Running Int8 Calibration', () => {
     }
   );
 
-  // TODO: 83248
-  xit(
+  it(
     'Should upload original Caffe model, convert to IR V10, run inference, run Int-8 Tune with Not Annotated dataset, ' +
       'Simplified Mode',
     async () => {
@@ -76,8 +74,7 @@ describe('UI tests on Running Int8 Calibration', () => {
     }
   );
 
-  // TODO: 83248
-  xit(
+  it(
     'Select squeezenet1.1 from table + Not Annotated dataset, infer (CPU), int8 Simplified Mode, ' +
       'check wait message ',
     async () => {
diff --git a/client/e2e/src/not-annotated-model-visualization.e2e-spec.ts b/client/e2e/src/not-annotated-model-visualization.e2e-spec.ts
index 68792e7b..af6caa19 100644
--- a/client/e2e/src/not-annotated-model-visualization.e2e-spec.ts
+++ b/client/e2e/src/not-annotated-model-visualization.e2e-spec.ts
@@ -8,8 +8,7 @@ import { VisualizeInferenceResultPage } from './pages/inference-test-image.po';
 import { TargetMachines, DevCloudTargets } from './pages/target-machines.po';
 import { Helpers } from './pages/helpers';
 
-// TODO: 83248
-xdescribe('UI tests on visualization for model with not annotated dataset', () => {
+describe('UI tests on visualization for model with not annotated dataset', () => {
   const testUtils = new TestUtils();
   const inferenceUtils = new InferenceUtils(testUtils);
   const visualizeInferenceResultPage = new VisualizeInferenceResultPage();
diff --git a/client/e2e/src/pages/configuration-wizard.po.ts b/client/e2e/src/pages/configuration-wizard.po.ts
index 852ea946..49495d68 100644
--- a/client/e2e/src/pages/configuration-wizard.po.ts
+++ b/client/e2e/src/pages/configuration-wizard.po.ts
@@ -967,9 +967,11 @@ export class ConfigurationWizardPage {
 
     await this.selectDatasetFile(datasetFile, resourceDir);
 
+    const selectTypes = await TestUtils.getElementByDataTestId('datasettype-form-field');
     if (datasetFile['format'] === DatasetTypeNames.CITYSCAPES) {
-      const selectTypes = await TestUtils.getElementByDataTestId('datasettype-form-field');
       await this.selectValueFromDropdown(selectTypes, DatasetTypeNames.CITYSCAPES);
+    } else if (datasetFile['format'] === DatasetTypeNames.NOT_ANNOTATED) {
+      await this.selectValueFromDropdown(selectTypes, DatasetTypeNames.NOT_ANNOTATED);
     }
 
     await this.uploadButton.click();
diff --git a/client/e2e/src/parent-predictions-visualization.e2e-spec.ts b/client/e2e/src/parent-predictions-visualization.e2e-spec.ts
index 7b192754..8b35773a 100644
--- a/client/e2e/src/parent-predictions-visualization.e2e-spec.ts
+++ b/client/e2e/src/parent-predictions-visualization.e2e-spec.ts
@@ -47,8 +47,7 @@ describe('UI tests on parent predictions visualization', () => {
     dataSetFileSemantic.name = testUtils.helpers.generateName();
     await testUtils.uploadDataset(datasetFileVOC);
     await testUtils.uploadDataset(datasetFileImageNet);
-    // TODO: 83248
-    // await testUtils.uploadDataset(dataSetFileSemantic);
+    await testUtils.uploadDataset(dataSetFileSemantic);
   });
 
   beforeEach(async () => {