{
  "schema": "gdc_taxi_maneuver_release_config_v1",
  "model_id": "generaldata/YellowCab",
  "model_name": "YellowCab",
  "model_version": "v0.1-causal",
  "task": "predict a GPS-derived maneuver proxy approximately 20 seconds ahead",
  "release_status": "public_research_release",
  "actuation_allowed": false,
  "labels": [
    "continue",
    "slow",
    "stop",
    "turn_left",
    "turn_right"
  ],
  "input": {
    "frame_count": 3,
    "frame_order": "oldest_to_newest",
    "nominal_offsets_seconds": [
      -20,
      -10,
      0
    ],
    "timestamps_optional": true,
    "timestamps_must_be_strictly_increasing": true,
    "image": {
      "allowed_formats": [
        "JPEG",
        "PNG"
      ],
      "max_encoded_bytes": 11184812,
      "max_decoded_bytes": 8388608,
      "max_width": 8192,
      "max_height": 8192,
      "max_pixels": 16000000,
      "allow_animated": false,
      "allow_truncated": false,
      "allow_urls": false,
      "allow_data_urls": false
    }
  },
  "preprocessing": {
    "exif_orientation": "transpose_then_discard_metadata",
    "color_mode": "RGB",
    "resize": "aspect_preserving_contain",
    "interpolation": "bicubic",
    "output_size": [
      224,
      224
    ],
    "letterbox_rgb": [
      124,
      116,
      104
    ],
    "channel_order": "CHW",
    "pixel_scale": 255.0,
    "image_mean": [
      0.485,
      0.456,
      0.406
    ],
    "image_std": [
      0.229,
      0.224,
      0.225
    ]
  },
  "telemetry": {
    "feature_order": [
      "current_speed_mps",
      "past_speed_mps",
      "acceleration_mps2",
      "past_turn_degrees",
      "past_yaw_rate_deg_s",
      "heading_sin",
      "heading_cos",
      "gps_accuracy_m",
      "hour_sin",
      "hour_cos",
      "dow_sin",
      "dow_cos"
    ],
    "fields": {
      "current_speed_mps": {
        "unit": "m/s",
        "reference": "current capture",
        "window": "average from the approximately t-20 anchor to t over the actual interval",
        "definition": "haversine displacement divided by elapsed seconds",
        "minimum": 0.0,
        "maximum": 45.0,
        "bounds_basis": "dataset-builder implied-speed acceptance policy"
      },
      "past_speed_mps": {
        "unit": "m/s",
        "reference": "approximately t-20",
        "window": "average from approximately t-40 to t-20 over the actual interval; copied from current_speed_mps when the deeper-past anchor was unavailable during dataset construction",
        "definition": "haversine displacement divided by elapsed seconds",
        "minimum": 0.0,
        "maximum": 64.22581298799362,
        "bounds_basis": "observed v0 corpus support; the dataset builder had no independent cap"
      },
      "acceleration_mps2": {
        "unit": "m/s^2",
        "reference": "current capture",
        "window": "change from past_speed_mps to current_speed_mps divided by the actual past interval",
        "definition": "(current_speed_mps - past_speed_mps) / past interval seconds",
        "minimum": -2.2890150038573767,
        "maximum": 1.847550146877638,
        "bounds_basis": "observed v0 corpus support; the dataset builder had no complete independent cap"
      },
      "past_turn_degrees": {
        "unit": "degrees",
        "reference": "current capture",
        "window": "bearing change between the approximately t-40 to t-20 and t-20 to t segments",
        "definition": "wrapped signed bearing change; clockwise/right is positive and counter-clockwise/left is negative",
        "minimum": -180.0,
        "maximum": 180.0,
        "maximum_inclusive": false,
        "bounds_basis": "mathematical wrapped-angle range"
      },
      "past_yaw_rate_deg_s": {
        "unit": "degrees/s",
        "reference": "current capture",
        "window": "past_turn_degrees divided by the actual past interval",
        "definition": "clockwise/right is positive and counter-clockwise/left is negative",
        "minimum": -25.714285714285715,
        "maximum": 25.714285714285715,
        "bounds_basis": "theoretical v0 range from a 180 degree turn and the 7 second minimum accepted interval"
      },
      "heading_sin": {
        "unit": "unitless",
        "reference": "current segment bearing",
        "window": "approximately t-20 to t",
        "definition": "sine of clockwise heading from north; north=0 and east=1",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      },
      "heading_cos": {
        "unit": "unitless",
        "reference": "current segment bearing",
        "window": "approximately t-20 to t",
        "definition": "cosine of clockwise heading from north; north=1 and east=0",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      },
      "gps_accuracy_m": {
        "unit": "m",
        "reference": "current capture",
        "window": "instantaneous source-reported horizontal accuracy",
        "definition": "source-reported accuracy value; missing training-source values were represented as 15 m",
        "minimum": 0.0,
        "maximum": 15.0,
        "bounds_basis": "nonnegative accuracy and v0 dataset-builder maximum"
      },
      "hour_sin": {
        "unit": "unitless",
        "reference": "current capture UTC timestamp",
        "window": "instantaneous",
        "definition": "sine encoding of UTC hour plus minute",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      },
      "hour_cos": {
        "unit": "unitless",
        "reference": "current capture UTC timestamp",
        "window": "instantaneous",
        "definition": "cosine encoding of UTC hour plus minute",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      },
      "dow_sin": {
        "unit": "unitless",
        "reference": "current capture UTC timestamp",
        "window": "instantaneous",
        "definition": "sine encoding of Python weekday where Monday is 0",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      },
      "dow_cos": {
        "unit": "unitless",
        "reference": "current capture UTC timestamp",
        "window": "instantaneous",
        "definition": "cosine encoding of Python weekday where Monday is 0",
        "minimum": -1.0,
        "maximum": 1.0,
        "bounds_basis": "trigonometric range"
      }
    },
    "unit_circle_pairs": [
      [
        "heading_sin",
        "heading_cos"
      ],
      [
        "hour_sin",
        "hour_cos"
      ],
      [
        "dow_sin",
        "dow_cos"
      ]
    ],
    "unit_circle_norm_tolerance": 0.02,
    "normalization": {
      "source_split": "train",
      "source_example_count": 55711,
      "standard_deviation": "population_ddof_0",
      "missing_value_imputation_used": false,
      "arithmetic": "parse as float64, subtract float32 training mean, divide by float32 training standard deviation, then cast to float32",
      "mean": [
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        -0.7335137724876404,
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      "std": [
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        0.16992051899433136,
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        1.736711025238037,
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        1.9923152923583984,
        0.6107164621353149,
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        0.7074313163757324
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  "architecture": {
    "encoder": "torchvision.efficientnet_b0",
    "encoder_initialization": "EfficientNet_B0_Weights.IMAGENET1K_V1 during training; weights are included in the checkpoint",
    "encoder_training": "frozen",
    "encoder_feature_dim": 1280,
    "temporal": "LayerNorm(1280) then one-layer unidirectional GRU(1280, 256)",
    "telemetry_head": "LayerNorm(12), Linear(12,96), GELU, Dropout(0.25), Linear(96,96), GELU",
    "classifier": "concatenate 256+96, LayerNorm(352), Linear(352,256), GELU, Dropout(0.25), Linear(256,5)",
    "head_config": {
      "image_feature_dim": 1280,
      "telemetry_dim": 12,
      "num_classes": 5,
      "hidden_dim": 256,
      "dropout": 0.25
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  },
  "calibration": {
    "method": "temperature_scaling",
    "temperature": 1.106177568435669,
    "fit_split": "validation_after_restoring_best_epoch_4",
    "independent_calibration_split": false
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  "abstention": {
    "default_threshold": 0.45,
    "rule": "abstain only when maximum calibrated probability is strictly below the threshold",
    "predicted_label_when_abstained": null
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  "checkpoint": {
    "file": "model.safetensors",
    "sha256": "af1a98cd96bb68d642f7a0adeedfacac37b230917afc15f3c87230a99a15b8a2",
    "bytes": 21384748,
    "parameter_count": 5294233,
    "state_tensor_count": 376,
    "state_numel": 5336298,
    "state_dtypes": {
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      "torch.int64": 49
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    "source_checkpoint_sha256": "0cb9c71d5be8f7671029e459c24179863ae2abff3ccfec1b5837c169d7d6c703"
  },
  "warnings": [
    "research model; not a safety-certified vehicle-control system",
    "validate performance and calibration for the intended domain before use"
  ],
  "training": {
    "manifest_sha256": "8b92ad563892776cc25148f39fec6bf207e1e442c618b58fb07af7e2b899364d",
    "split_sha256": "bfc5e960c8af32d0ea75a5e293bb95b3125111ace2cf8452eb42feb4bc2a1a5e",
    "samples": 74680,
    "routes": 36,
    "split_samples": {
      "train": 55711,
      "validation": 10375,
      "test": 8594
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    "split_routes": {
      "train": 26,
      "validation": 5,
      "test": 5
    },
    "seed": 20260726,
    "epochs_completed": 8,
    "best_validation_macro_f1": 0.37644976936491265,
    "causal_input_policy": "When past-to-current displacement is below 4 m, encode unknown current heading as sin=0 and cos=1. No future bearing is used.",
    "future_derived_model_inputs": 0
  },
  "evaluation": {
    "artifact": "evaluation.json",
    "checkpoint_specific": true,
    "primary_metric": "macro_f1",
    "test_samples": 8594,
    "test_routes": 5,
    "macro_f1": 0.3915542657655546,
    "macro_f1_route_ci_95": [
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    "balanced_accuracy": 0.39156334041323,
    "accuracy": 0.5755178031184547,
    "ece_15_bin": 0.011817411647322817
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}