sound.count.

sound.count.

AI Demo
Demo

This demo estimates vehicle counts from ambient audio alone — no camera or radar needed for detection. Pick a sample clip from the sidebar and run the model.

The video is shown only so you can visually check the result against what's happening in the clip — the model itself only ever sees the audio track, never the video frames.

Results are labeled Model Prediction — the model's estimated count, split left→right / right→left, with a calibrated confidence range in parentheses where available. Below the video you'll also see a separate Ground Truth block with the manually annotated true count for that clip, so you can compare the prediction against it directly.

The mel spectrogram is the same time-frequency view the model sees — useful for a sanity check against audible events (engine passes, horn honks) in the clip.

🎬
Drop a video clip here
MKV, MP4, WAV, MP3, FLAC and more — up to ~5 min
Browse
File
Model
Mel Spectrogram
0 s 30 s 60 s
→ Left to Right
counted vehicles
← Right to Left
counted vehicles
Total Vehicles
in sample
→ Left to Right ← Right to Left