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item_eo_bands.json
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item_eo_bands.json
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{
"$comment": "Demonstrate the use of MLM and EO for bands description, with EO bands directly in the Model Asset.",
"stac_version": "1.0.0",
"stac_extensions": [
"https://stac-extensions.github.io/mlm/v1.3.0/schema.json",
"https://stac-extensions.github.io/eo/v1.1.0/schema.json",
"https://stac-extensions.github.io/raster/v1.1.0/schema.json",
"https://stac-extensions.github.io/file/v1.0.0/schema.json",
"https://stac-extensions.github.io/ml-aoi/v0.2.0/schema.json"
],
"type": "Feature",
"id": "resnet-18_sentinel-2_all_moco_classification",
"collection": "ml-model-examples",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-7.882190080512502,
37.13739173208318
],
[
-7.882190080512502,
58.21798141355221
],
[
27.911651652899923,
58.21798141355221
],
[
27.911651652899923,
37.13739173208318
],
[
-7.882190080512502,
37.13739173208318
]
]
]
},
"bbox": [
-7.882190080512502,
37.13739173208318,
27.911651652899923,
58.21798141355221
],
"properties": {
"description": "Sourced from torchgeo python library, identifier is ResNet18_Weights.SENTINEL2_ALL_MOCO",
"datetime": null,
"start_datetime": "1900-01-01T00:00:00Z",
"end_datetime": "9999-12-31T23:59:59Z",
"mlm:name": "Resnet-18 Sentinel-2 ALL MOCO",
"mlm:tasks": [
"classification"
],
"mlm:architecture": "ResNet",
"mlm:framework": "pytorch",
"mlm:framework_version": "2.1.2+cu121",
"file:size": 43000000,
"mlm:memory_size": 1,
"mlm:total_parameters": 11700000,
"mlm:pretrained_source": "EuroSat Sentinel-2",
"mlm:accelerator": "cuda",
"mlm:accelerator_constrained": false,
"mlm:accelerator_summary": "Unknown",
"mlm:batch_size_suggestion": 256,
"mlm:input": [
{
"name": "13 Band Sentinel-2 Batch",
"bands": [
"B01",
"B02",
"B03",
"B04",
"B05",
"B06",
"B07",
"B08",
"B8A",
"B09",
"B10",
"B11",
"B12"
],
"input": {
"shape": [
-1,
13,
64,
64
],
"dim_order": [
"batch",
"channel",
"height",
"width"
],
"data_type": "float32"
},
"norm_by_channel": true,
"resize_type": null,
"value_scaling": [
{
"type": "z-score",
"mean": 1354.40546513,
"stddev": 245.71762908
},
{
"type": "z-score",
"mean": 1118.24399958,
"stddev": 333.00778264
},
{
"type": "z-score",
"mean": 1042.92983953,
"stddev": 395.09249139
},
{
"type": "z-score",
"mean": 947.62620298,
"stddev": 593.75055589
},
{
"type": "z-score",
"mean": 1199.47283961,
"stddev": 566.4170017
},
{
"type": "z-score",
"mean": 1999.79090914,
"stddev": 861.18399006
},
{
"type": "z-score",
"mean": 2369.22292565,
"stddev": 1086.63139075
},
{
"type": "z-score",
"mean": 2296.82608323,
"stddev": 1117.98170791
},
{
"type": "z-score",
"mean": 732.08340178,
"stddev": 404.91978886
},
{
"type": "z-score",
"mean": 12.11327804,
"stddev": 4.77584468
},
{
"type": "z-score",
"mean": 1819.01027855,
"stddev": 1002.58768311
},
{
"type": "z-score",
"mean": 1118.92391149,
"stddev": 761.30323499
},
{
"type": "z-score",
"mean": 2594.14080798,
"stddev": 1231.58581042
}
],
"pre_processing_function": {
"format": "python",
"expression": "torchgeo.datamodules.eurosat.EuroSATDataModule.collate_fn"
}
}
],
"mlm:output": [
{
"name": "classification",
"tasks": [
"classification"
],
"result": {
"shape": [
-1,
10
],
"dim_order": [
"batch",
"class"
],
"data_type": "float32"
},
"classification_classes": [
{
"value": 0,
"name": "Annual Crop",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 1,
"name": "Forest",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 2,
"name": "Herbaceous Vegetation",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 3,
"name": "Highway",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 4,
"name": "Industrial Buildings",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 5,
"name": "Pasture",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 6,
"name": "Permanent Crop",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 7,
"name": "Residential Buildings",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 8,
"name": "River",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
},
{
"value": 9,
"name": "SeaLake",
"description": null,
"title": null,
"color_hint": null,
"nodata": false
}
],
"post_processing_function": null
}
]
},
"assets": {
"weights": {
"href": "https://huggingface.co/torchgeo/resnet18_sentinel2_all_moco/resolve/main/resnet18_sentinel2_all_moco-59bfdff9.pth",
"title": "Pytorch weights checkpoint",
"description": "A Resnet-18 classification model trained on normalized Sentinel-2 imagery with Eurosat landcover labels with torchgeo",
"type": "application/octet-stream; application=pytorch",
"roles": [
"mlm:model",
"mlm:weights"
],
"mlm:artifact_type": "torch.save",
"$comment": "Following 'eo:bands' is required to fulfil schema validation of 'eo' extension.",
"eo:bands": [
{
"name": "B01",
"common_name": "coastal",
"description": "Coastal aerosol (band 1)",
"center_wavelength": 0.443,
"full_width_half_max": 0.027
},
{
"name": "B02",
"common_name": "blue",
"description": "Blue (band 2)",
"center_wavelength": 0.49,
"full_width_half_max": 0.098
},
{
"name": "B03",
"common_name": "green",
"description": "Green (band 3)",
"center_wavelength": 0.56,
"full_width_half_max": 0.045
},
{
"name": "B04",
"common_name": "red",
"description": "Red (band 4)",
"center_wavelength": 0.665,
"full_width_half_max": 0.038
},
{
"name": "B05",
"common_name": "rededge",
"description": "Red edge 1 (band 5)",
"center_wavelength": 0.704,
"full_width_half_max": 0.019
},
{
"name": "B06",
"common_name": "rededge",
"description": "Red edge 2 (band 6)",
"center_wavelength": 0.74,
"full_width_half_max": 0.018
},
{
"name": "B07",
"common_name": "rededge",
"description": "Red edge 3 (band 7)",
"center_wavelength": 0.783,
"full_width_half_max": 0.028
},
{
"name": "B08",
"common_name": "nir",
"description": "NIR 1 (band 8)",
"center_wavelength": 0.842,
"full_width_half_max": 0.145
},
{
"name": "B8A",
"common_name": "nir08",
"description": "NIR 2 (band 8A)",
"center_wavelength": 0.865,
"full_width_half_max": 0.033
},
{
"name": "B09",
"common_name": "nir09",
"description": "NIR 3 (band 9)",
"center_wavelength": 0.945,
"full_width_half_max": 0.026
},
{
"name": "B10",
"common_name": "cirrus",
"description": "SWIR - Cirrus (band 10)",
"center_wavelength": 1.375,
"full_width_half_max": 0.026
},
{
"name": "B11",
"common_name": "swir16",
"description": "SWIR 1 (band 11)",
"center_wavelength": 1.61,
"full_width_half_max": 0.143
},
{
"name": "B12",
"common_name": "swir22",
"description": "SWIR 2 (band 12)",
"center_wavelength": 2.19,
"full_width_half_max": 0.242
}
]
},
"source_code": {
"href": "https://github.com/microsoft/torchgeo/blob/61efd2e2c4df7ebe3bd03002ebbaeaa3cfe9885a/torchgeo/models/resnet.py#L207",
"title": "Model implementation.",
"description": "Source code to run the model.",
"type": "text/x-python",
"roles": [
"mlm:source_code",
"code",
"metadata"
]
}
},
"links": [
{
"rel": "collection",
"href": "./collection.json",
"type": "application/json"
},
{
"rel": "self",
"href": "./item_eo_bands.json",
"type": "application/geo+json"
},
{
"rel": "derived_from",
"href": "https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a",
"type": "application/json",
"ml-aoi:split": "train"
}
]
}