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{
"format_version": 1,
"name": "LongMemory-Geo",
"runtime": "pytorch-cpu",
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"layout": "HWC",
"color": "RGB"
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"source_class_mapping": {
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"architecture": "YOLO26n-OBB",
"parameters": 2652984,
"bytes": 5907357,
"training_performed": false,
"selection": "Pretrained retained because fine-tuning candidates regressed."
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"classes": {
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"2": "road",
"3": "bridge",
"4": "vehicle",
"5": "large_vehicle",
"6": "aircraft",
"7": "vessel",
"8": "storage_tank",
"12": "water",
"13": "vegetation",
"14": "agricultural_area",
"15": "bare_ground",
"16": "developed_area"
},
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],
"segmentation_class_ids": [
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"detection_thresholds": {
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"tiling": {
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"overlap": 0.25,
"nms_iou": 0.5,
"fusion": "oriented_nms",
"semantic_stitch": "central_context"
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"corpus_content_sha256": "74e55742bcf4c7d8ce3a8bfcc063c845baae60f30df7c16668737f25a4f1ad70",
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"limitations": [
"Research package; DOTA source restrictions apply.",
"Detector is pretrained, not successfully fine-tuned.",
"Bare-ground recognition and bridge recall remain weaknesses.",
"Geographic independence is not fully established.",
"Tiled fusion has geometry tests; alternative fusion methods and multiscale are not benchmarked.",
"No independent external-imagery generalization claim."
]
}

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