{
  "model_type": "speednet",
  "architectures": ["SpeedNet"],
  "task": "ego-speed-estimation",
  "input": "optical_flow_128x72_plus_rgb_context",
  "output": "speed_mps",
  "hidden_size": 192,
  "flow_cnn_blocks": 4,
  "context_cnn_blocks": 3,
  "gru_layers": 2,
  "sample_rate_hz": "variable (short: 16-frame, streaming: any)",
  "framework": "pytorch"
}