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README.md

@@ -17,6 +17,11 @@ pipeline_tag: object-detection
 
 **TWL Spike Yolo** is a spiking neural network (SNN) for real-time object detection based on event-based vision. The model adapts the YOLOv8 architecture to work with streams of event data, allowing efficient processing in neuromorphic computing environments.
 
+<p align="center">
+  <img src="https://huggingface.co/KirillHit/twl_spike_yolo/resolve/main/assets/gen1_example.gif" alt="Demo GIF"/><br>
+  <em>Demonstration of model performance on the Gen1 dataset</em>
+</p>
+
 This approach leverages the low-latency and power-efficient properties of SNNs to detect objects in fast-changing visual scenes. The model also explores multimodal fusion by combining event-based and frame-based inputs to enhance detection accuracy under challenging conditions such as motion blur or low light.
 
 ## Highlights