Update README.md

README.md

@@ -4,6 +4,11 @@ license: mit
 
 # Dataset Card for Chirp Spectrograms (Images & Corresponding Labels)
 
+## Sample Generated Spectrograms
+
+![Sample Generated Spectrogram](https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/spectrogram_4.png)
+![Sample Generated Spectrograms](https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/Samples.jpg)
+
 <!-- Provide a quick summary of the dataset. -->
 This dataset contains synthetic chirp spectrograms with corresponding labels, generated for research in signal processing and machine learning applications. The dataset is particularly useful for developing and testing models for chirp signal detection and localization.
 
@@ -55,13 +60,6 @@ The data was generated by the authors using their custom Python package.
 **APA:**
 [Bahador, N., & Lankarany, M. (2025). Chirp localization via fine-tuned transformer model: A proof-of-concept study. arXiv preprint arXiv:2503.22713.](https://arxiv.org/pdf/2503.22713)
 
-## Sample Generated Spectrograms
-
-<div style="display: flex; justify-content: space-between; gap: 20px;">
-    <img src="https://github.com/nbahador/chirp_spectrogram_generator/blob/main/Usage_Example/spectrogram_4.png" alt="Sample Generated Spectrogram" width="300" height="200" />
-    <img src="https://github.com/nbahador/chirp_spectrogram_generator/blob/main/Usage_Example/Samples.jpg" alt="Sample Generated Spectrograms" width="400" height="200" />
-</div>
-
 ## More Information
 
 For more information and generation code, visit the [GitHub repository](https://github.com/nbahador/chirp_spectrogram_generator/tree/main).