example MLM v1.2.0 model metadata and artifacts
Browse files- classification/landcover-eurosat-sentinel2/model-metadata.json +267 -0
- classification/landcover-eurosat-sentinel2/scripting/model.pt +3 -0
- object-detection/marine-satlas-sentinel2/model-metadata.json +270 -0
- object-detection/marine-satlas-sentinel2/scripting/model.pt +3 -0
- semantic-segmentation/solar-satlas-sentinel2/inductor/gpu/aot_inductor_gpu_tensor_cores.zip +3 -0
- semantic-segmentation/solar-satlas-sentinel2/model-metadata.json +342 -0
classification/landcover-eurosat-sentinel2/model-metadata.json
ADDED
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{
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"type": "Feature",
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| 3 |
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"stac_version": "1.0.0",
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| 4 |
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"id": "item_landcover_eurosat_sentinel2",
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| 5 |
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"properties": {
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| 6 |
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"start_datetime": "1900-01-01T00:00:00Z",
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| 7 |
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"end_datetime": "9999-01-01T00:00:00Z",
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| 8 |
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"description": "Sourced from torchgeo python library, identifier is ResNet18_Weights.SENTINEL2_ALL_MOCO. The batch size suggestion is 3300, which almost maxes out an NVIDIA 3090's 24 GB CUDA memory.",
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| 9 |
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"mlm:framework": "pytorch",
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| 10 |
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"mlm:framework_version": "2.3.0+cu121",
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| 11 |
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"file:size": 91000000,
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| 12 |
+
"mlm:memory_size": 94452432,
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| 13 |
+
"mlm:batch_size_suggestion": 3300,
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| 14 |
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"mlm:accelerator": "cuda",
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| 15 |
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"mlm:accelerator_constrained": false,
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| 16 |
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"mlm:accelerator_summary": "Unknown",
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| 17 |
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"mlm:name": "Resnet-18 Sentinel-2 ALL MOCO",
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| 18 |
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"mlm:architecture": "ResNet-18",
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| 19 |
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"mlm:tasks": [
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| 20 |
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"scene-classification"
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],
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| 22 |
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"mlm:input": [
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| 23 |
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{
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| 24 |
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"name": "13 Band Sentinel-2 Batch",
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"bands": [
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"B01",
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"B02",
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"B03",
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"B04",
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"B05",
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"B06",
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"B07",
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"B08",
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"B8A",
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"B09",
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"B10",
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"B11",
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"B12"
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],
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"input": {
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| 41 |
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"shape": [
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-1,
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13,
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64,
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64
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],
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"dim_order": [
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"batch",
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"channel",
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"height",
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| 51 |
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"width"
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],
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"data_type": "float32"
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| 54 |
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},
|
| 55 |
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"norm_by_channel": true,
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| 56 |
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"norm_type": "z-score",
|
| 57 |
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"statistics": [
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| 58 |
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{
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| 59 |
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"mean": 1354.40546513,
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"stddev": 245.71762908
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},
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{
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"mean": 1118.24399958,
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"stddev": 333.00778264
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| 65 |
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},
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{
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"mean": 1042.92983953,
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"stddev": 395.09249139
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{
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"mean": 947.62620298,
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"stddev": 593.75055589
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},
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{
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"mean": 1199.47283961,
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| 76 |
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"stddev": 566.4170017
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| 77 |
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},
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| 78 |
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{
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| 79 |
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"mean": 1999.79090914,
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| 80 |
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"stddev": 861.18399006
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| 81 |
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},
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| 82 |
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{
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| 83 |
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"mean": 2369.22292565,
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| 84 |
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"stddev": 1086.63139075
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| 85 |
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| 86 |
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{
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"mean": 2296.82608323,
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| 88 |
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"stddev": 1117.98170791
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| 90 |
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{
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"mean": 732.08340178,
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"stddev": 404.91978886
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| 94 |
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{
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"mean": 12.11327804,
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| 96 |
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"stddev": 4.77584468
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| 98 |
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{
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| 99 |
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"mean": 1819.01027855,
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| 100 |
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"stddev": 1002.58768311
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| 101 |
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},
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| 102 |
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{
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| 103 |
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"mean": 1118.92391149,
|
| 104 |
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"stddev": 761.30323499
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| 105 |
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},
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| 106 |
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{
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| 107 |
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"mean": 2594.14080798,
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| 108 |
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"stddev": 1231.58581042
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| 109 |
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}
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| 110 |
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],
|
| 111 |
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"pre_processing_function": {
|
| 112 |
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"format": "python",
|
| 113 |
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"expression": "torchgeo.datamodules.eurosat.EuroSATDataModule.collate_fn"
|
| 114 |
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}
|
| 115 |
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}
|
| 116 |
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],
|
| 117 |
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"mlm:output": [
|
| 118 |
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{
|
| 119 |
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"name": "scene-classification",
|
| 120 |
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"tasks": [
|
| 121 |
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"scene-classification"
|
| 122 |
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],
|
| 123 |
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"result": {
|
| 124 |
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"shape": [
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| 125 |
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-1,
|
| 126 |
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10
|
| 127 |
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],
|
| 128 |
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"dim_order": [
|
| 129 |
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"batch",
|
| 130 |
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"class"
|
| 131 |
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],
|
| 132 |
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"data_type": "float32"
|
| 133 |
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},
|
| 134 |
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"classification:classes": [
|
| 135 |
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{
|
| 136 |
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"value": 0,
|
| 137 |
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"name": "Annual Crop",
|
| 138 |
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"description": "Annual Crop"
|
| 139 |
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},
|
| 140 |
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{
|
| 141 |
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"value": 1,
|
| 142 |
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"name": "Forest",
|
| 143 |
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"description": "Forest"
|
| 144 |
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},
|
| 145 |
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{
|
| 146 |
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"value": 2,
|
| 147 |
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"name": "Herbaceous Vegetation",
|
| 148 |
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"description": "Herbaceous Vegetation"
|
| 149 |
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},
|
| 150 |
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{
|
| 151 |
+
"value": 3,
|
| 152 |
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"name": "Highway",
|
| 153 |
+
"description": "Highway"
|
| 154 |
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},
|
| 155 |
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{
|
| 156 |
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"value": 4,
|
| 157 |
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"name": "Industrial Buildings",
|
| 158 |
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"description": "Industrial Buildings"
|
| 159 |
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},
|
| 160 |
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{
|
| 161 |
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"value": 5,
|
| 162 |
+
"name": "Pasture",
|
| 163 |
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"description": "Pasture"
|
| 164 |
+
},
|
| 165 |
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{
|
| 166 |
+
"value": 6,
|
| 167 |
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"name": "Permanent Crop",
|
| 168 |
+
"description": "Permanent Crop"
|
| 169 |
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},
|
| 170 |
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{
|
| 171 |
+
"value": 7,
|
| 172 |
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"name": "Residential Buildings",
|
| 173 |
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"description": "Residential Buildings"
|
| 174 |
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},
|
| 175 |
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{
|
| 176 |
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"value": 8,
|
| 177 |
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"name": "River",
|
| 178 |
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"description": "River"
|
| 179 |
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},
|
| 180 |
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{
|
| 181 |
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"value": 9,
|
| 182 |
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"name": "SeaLake",
|
| 183 |
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"description": "SeaLake"
|
| 184 |
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}
|
| 185 |
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],
|
| 186 |
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"post_processing_function": null
|
| 187 |
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}
|
| 188 |
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],
|
| 189 |
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"mlm:total_parameters": 11700000,
|
| 190 |
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"mlm:pretrained": true,
|
| 191 |
+
"mlm:pretrained_source": "EuroSat Sentinel-2",
|
| 192 |
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"datetime": null
|
| 193 |
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},
|
| 194 |
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"geometry": {
|
| 195 |
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"type": "Polygon",
|
| 196 |
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"coordinates": [
|
| 197 |
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[
|
| 198 |
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[
|
| 199 |
+
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| 200 |
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| 201 |
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| 202 |
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[
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 217 |
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| 218 |
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]
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| 219 |
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]
|
| 220 |
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},
|
| 221 |
+
"links": [
|
| 222 |
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{
|
| 223 |
+
"rel": "derived_from",
|
| 224 |
+
"href": "https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a",
|
| 225 |
+
"type": "application/json"
|
| 226 |
+
},
|
| 227 |
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{
|
| 228 |
+
"rel": "self",
|
| 229 |
+
"href": "s3://wherobots-modelhub-prod/community/classification/landcover-eurosat-sentinel2/model-metadata.json/item_landcover_eurosat_sentinel2.json",
|
| 230 |
+
"type": "application/json"
|
| 231 |
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}
|
| 232 |
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],
|
| 233 |
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"assets": {
|
| 234 |
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"model": {
|
| 235 |
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"href": "s3://wherobots-modelhub-prod/community/classification/landcover-eurosat-sentinel2/scripting/model.pt",
|
| 236 |
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"type": "application/octet-stream; application=pytorch",
|
| 237 |
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"title": "Pytorch weights checkpoint",
|
| 238 |
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"description": "A Resnet-18 classification model trained on normalized Sentinel-2 imagery with Eurosat landcover labels with torchgeo.",
|
| 239 |
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"mlm_artifact_type": "torch.jit.script",
|
| 240 |
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"file:size": 43000000,
|
| 241 |
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"roles": [
|
| 242 |
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"mlm:model",
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| 243 |
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"data"
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| 244 |
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]
|
| 245 |
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},
|
| 246 |
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"source_code": {
|
| 247 |
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"href": "https://github.com/microsoft/torchgeo/blob/61efd2e2c4df7ebe3bd03002ebbaeaa3cfe9885a/torchgeo/models/resnet.py#L207",
|
| 248 |
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"type": "text/x-python",
|
| 249 |
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"title": "Model implementation.",
|
| 250 |
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"description": "Source code to run the model.",
|
| 251 |
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"roles": [
|
| 252 |
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"mlm:model",
|
| 253 |
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"code"
|
| 254 |
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]
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| 255 |
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}
|
| 256 |
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},
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| 257 |
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"bbox": [
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| 260 |
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| 261 |
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| 262 |
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],
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| 263 |
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"stac_extensions": [
|
| 264 |
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"https://stac-extensions.github.io/file/v2.1.0/schema.json",
|
| 265 |
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"https://crim-ca.github.io/mlm-extension/v1.2.0/schema.json"
|
| 266 |
+
]
|
| 267 |
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}
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classification/landcover-eurosat-sentinel2/scripting/model.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:509b72ac9ba7e27ab190e80df28cc2c51b3d00154dce5f9842ecc120c918443c
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| 3 |
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size 94609271
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object-detection/marine-satlas-sentinel2/model-metadata.json
ADDED
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| 1 |
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{
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|
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| 16 |
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| 17 |
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| 18 |
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| 224 |
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| 225 |
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| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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| 230 |
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{
|
| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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"type": "application/octet-stream; application=pytorch",
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| 240 |
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"title": "TorchScript model exported from private, edited, hard fork of Satlas github repo.",
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| 241 |
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| 250 |
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| 251 |
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| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 |
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|
object-detection/marine-satlas-sentinel2/scripting/model.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 390116647
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semantic-segmentation/solar-satlas-sentinel2/inductor/gpu/aot_inductor_gpu_tensor_cores.zip
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 656424207
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semantic-segmentation/solar-satlas-sentinel2/model-metadata.json
ADDED
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@@ -0,0 +1,342 @@
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| 1 |
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| 2 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 230 |
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| 231 |
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| 232 |
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"href": "s3://wherobots-modelhub-prod/professional/semantic-segmentation/solar-satlas-sentinel2/inductor/gpu/aot_inductor_gpu_tensor_cores.zip",
|
| 311 |
+
"type": "application/zip; application=pytorch",
|
| 312 |
+
"title": "AOTInductor model exported from private, edited, hard fork of Satlas github repo.",
|
| 313 |
+
"description": "A Swin Transformer backbone with a U-net head trained on the 9-band Sentinel-2 Top of Atmosphere product.",
|
| 314 |
+
"mlm_artifact_type": "torch.jit.script",
|
| 315 |
+
"file:size": 333000000,
|
| 316 |
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"roles": [
|
| 317 |
+
"mlm:model",
|
| 318 |
+
"data"
|
| 319 |
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]
|
| 320 |
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},
|
| 321 |
+
"source_code": {
|
| 322 |
+
"href": "https://github.com/wherobots/modelhub/blob/main/model-forge/satlas/solar/export.py",
|
| 323 |
+
"type": "text/x-python",
|
| 324 |
+
"title": "Model implementation.",
|
| 325 |
+
"description": "Source code to export the model.",
|
| 326 |
+
"roles": [
|
| 327 |
+
"mlm:model",
|
| 328 |
+
"code"
|
| 329 |
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]
|
| 330 |
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}
|
| 331 |
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},
|
| 332 |
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"bbox": [
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| 333 |
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| 335 |
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| 336 |
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58.21798141355221
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| 337 |
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],
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| 338 |
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"stac_extensions": [
|
| 339 |
+
"https://stac-extensions.github.io/file/v2.1.0/schema.json",
|
| 340 |
+
"https://crim-ca.github.io/mlm-extension/v1.2.0/schema.json"
|
| 341 |
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]
|
| 342 |
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}
|