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final links and edits in README.md
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@Arihant-Bhandari
Arihant-Bhandari authored Jun 2, 2024
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35 changes: 22 additions & 13 deletions AI Generated vs Real Images Classification using DL/README.md
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Expand Up @@ -48,8 +48,8 @@ models used:
- **Real Art**

<p align="center">
<img src = "https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/85220_africa-21787_1920.rev.1600192341.jpg"> height="400px" width="400px" />
<img src = "https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/beautiful-scenery-in-autumn-season-illustration-ai-generative-free-free-photo.jpg"> height="400px" width="400px" />
<img src = "https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/85220_africa-21787_1920.rev.1600192341.jpg" height="400px" width="400px" />
<img src = "https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/beautiful-scenery-in-autumn-season-illustration-ai-generative-free-free-photo.jpg" height="400px" width="400px" />
</p>

- **AI Art**
Expand All @@ -62,40 +62,49 @@ models used:
- **CNN**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
</p>

- **Inception-Resnet-V2**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Inception-Resnet-V2%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Inception-Resnet-V2%20Loss.png" height="400px" width="400px" />
</p>

- **Xception**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Xception%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Xception%20Loss.png" height="400px" width="400px" />
</p>

- **VGG16**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/VGG16%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/VGG16%20Loss.png" height="400px" width="400px" />
</p>

- **DenseNet121**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/tomato-leaf/Tomato-Leaf%20Classification%20using%20DL/Images/CNN%20Loss.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/DenseNet%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/DenseNet%20Loss.png" height="400px" width="400px" />
</p>

- **Inception**

<p align="center">
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Inception%20Accuracy.png" height="400px" width="400px" />
<img src="https://github.com/Arihant-Bhandari/DL-Simplified/blob/AI_vs_REAL/AI%20Generated%20vs%20Real%20Images%20Classification%20using%20DL/Images/Inception%20Loss.png" height="400px" width="400px" />
</p>

### 📈 **Performance of the Models based on the Accuracy Scores**

We used Validation Loss and Accuracy as metrics for evaluation.

Metrics:

| Models | Accuracy | Loss |
Expand All @@ -111,7 +120,7 @@ Metrics:

We conclude the following:

VGG16 and inception work well on the dataset.
Inception-ResNet-V2 works exceptionally well with higher accuracy and moderate loss.

### ✒️ **Your Signature**

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