graph LR
    dataset_ingest["roofai<br>dataset<br>ingest<br>source=AIRS|CamVid|&lt;distributed-dataset&gt;<br>&lt;dataset-object-name&gt;"]

    dataset_review["roofai<br>dataset<br>review -<br>&lt;dataset-object-name&gt;"]

    semseg_train["roofai<br>semseg<br>train -<br>&lt;dataset-object-name&gt;<br>&lt;model-object-name&gt;"]

    semseg_predict["roofai<br>semseg<br>predict -<br>&lt;model-object-name&gt;<br>&lt;dataset-object-name&gt;<br>&lt;prediction-object-name&gt;"]

    gmaps_get_static_image["@google_maps<br>get_static_image -<br>&lt;object-name&gt;<br>--lat &lt;lat&gt;<br>--lon &lt;lon&gt;"]

    gmaps_geocode["@google_maps<br>geocode - -<br>--address &lt;address&gt;"]

    dataset_ingest_gmaps["roofai<br>dataset<br>ingest<br>source=gmaps<br>&lt;object-name&gt;<br>count=&lt;count&gt;,lat=&lt;lat&gt;,lon=&lt;lon&gt;<br>roboflow,project=&lt;project-name&gt;"]

    roboflow_upload["@roboflow<br>upload<br>project=&lt;project-name&gt;<br>&lt;object-name&gt;"]

    roboflow_download["@roboflow<br>download<br>project=&lt;project-name&gt;,version=&lt;version&gt;<br>&lt;object-name&gt;<br>ingest,count=&lt;10000&gt;<br>&lt;dataset-object-name&gt;"]

    gmaps_predict["@google_maps<br>predict<br>lat=&lt;lat&gt;,lon=&lt;lon&gt; -<br>&lt;model-object-name&gt;<br>&lt;prediction-object-name&gt;"]

    gearth_browse["@google_earth<br>browse<br>dev"]

    gearth_fetch["@google_earth<br>fetch -<br>&lt;object-name&gt;<br>--latitude=&lt;&gt;<br>--longitude=&lt;&gt;"]

    address["🌐 address"]:::folder
    lat_lon["🌐 lat,lon"]:::folder
    AIRS["AIRS"]:::folder
    CamVid["CamVid"]:::folder
    dataset_object_name["📂 dataset object"]:::folder
    distributed_dataset_object_name["📂 distributed dataset object"]:::folder
    model_object_name["📂 model object"]:::folder
    prediction_object_name["📂 prediction object"]:::folder
    object_name["📂 object"]:::folder
    object_name_2["📂 object"]:::folder
    object_name_static_image["📂 object"]:::folder
    terminal["💻 terminal"]:::folder
    roboflow["🖼️ roboflow"]:::folder

    lat_lon --> gmaps_predict
    address --> gmaps_predict
    model_object_name --> gmaps_predict
    gmaps_predict --> prediction_object_name

    dataset_object_name --> dataset_ingest
    distributed_dataset_object_name --> dataset_ingest
    AIRS --> dataset_ingest
    CamVid --> dataset_ingest
    dataset_ingest --> dataset_object_name

    dataset_ingest_gmaps --> gmaps_get_static_image
    dataset_ingest_gmaps --> roboflow
    dataset_ingest_gmaps --> object_name

    object_name --> roboflow_upload
    roboflow_upload --> roboflow

    roboflow --> roboflow_download
    roboflow_download --> dataset_ingest
    roboflow_download --> dataset_review
    roboflow_download --> dataset_object_name

    AIRS --> dataset_review
    distributed_dataset_object_name --> dataset_review
    CamVid --> dataset_review
    dataset_object_name --> dataset_review
    dataset_review --> terminal

    dataset_object_name --> semseg_train
    semseg_train --> model_object_name

    model_object_name --> semseg_predict
    dataset_object_name --> semseg_predict
    semseg_predict --> prediction_object_name

    lat_lon --> gmaps_get_static_image
    gmaps_get_static_image --> object_name_static_image

    address --> gmaps_geocode
    gmaps_geocode --> lat_lon

    lat_lon --> gearth_browse

    lat_lon --> gearth_fetch
    gearth_fetch --> object_name_2

    classDef folder fill:#999,stroke:#333,stroke-width:2px;