Fuente del modelo
Extracto de la fuente
Artefactos del modelo
49 artefactosterramind_v3_finetune_almaty_v2/checkpoints/soup.ckpt
ckpt · 6,00 GB · SHA-256 e5f0a2086350…92f4
terramind_v3_finetune_almaty_v2/checkpoints/step000535-iou0.950.ckpt
ckpt · 6,00 GB · SHA-256 60b8e3e4dd5e…2565
terramind_v3_finetune_almaty_v2/checkpoints/step001605-iou0.952.ckpt
ckpt · 6,00 GB · SHA-256 01939adc71c2…4952
terramind_v3_finetune_almaty_v2/checkpoints/step004815-iou0.944.ckpt
ckpt · 6,00 GB · SHA-256 a2697eaae0b3…11d4
Extractos de fuentes
3 extractosterramind_v3_finetune_almaty_v2/checkpoints/step005350-iou0.947.ckpt
ckpt · 6,00 GB · SHA-256 f07d958c1307…c079
terramind_v3_finetune_almaty_v2/checkpoints/step006955-iou0.947.ckpt
ckpt · 6,00 GB · SHA-256 4d2e7da442f0…7598
terramind_v3_finetune_almaty_v2/checkpoints/step008560-iou0.948.ckpt
ckpt · 6,00 GB · SHA-256 7db3a82cfeb0…218c
terramind_v3_finetune_almaty/checkpoints/last.ckpt
ckpt · 5,11 GB · SHA-256 17969c25ae09…d0c8
terramind_v3_finetune_almaty/checkpoints/soup.ckpt
ckpt · 5,11 GB · SHA-256 32a6c5c61d94…c82f
terramind_v3_finetune_almaty/checkpoints/step001000-iou0.823.ckpt
ckpt · 5,11 GB · SHA-256 9de0fda41737…a92f
terramind_v3_finetune_almaty/checkpoints/step002500-iou0.826.ckpt
ckpt · 5,11 GB · SHA-256 1283211551db…5fd6
terramind_v3_finetune_almaty/checkpoints/step003000-iou0.826.ckpt
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terramind_v3_finetune_almaty/checkpoints/step005500-iou0.825.ckpt
ckpt · 5,11 GB · SHA-256 136136a4e50c…eebb
terramind_v3_pretrain_v2/checkpoints/soup.ckpt
ckpt · 6,00 GB · SHA-256 5acb16626cbb…49e1
terramind_v3_pretrain_v2/checkpoints/step004000-iou0.540.ckpt
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terramind_v3_pretrain_v2/checkpoints/step006132-iou0.839.ckpt
ckpt · 6,00 GB · SHA-256 b8fd67dffaae…94bd
terramind_v3_pretrain_v2/checkpoints/step009198-iou0.845.ckpt
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terramind_v3_pretrain_v2/checkpoints/step015330-iou0.853.ckpt
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terramind_v3_pretrain_v2/checkpoints/step021462-iou0.865.ckpt
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terramind_v3_pretrain_v2/checkpoints/step027594-iou0.871.ckpt
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terramind_v3_pretrain_v2/checkpoints/step033726-iou0.872.ckpt
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terramind_v3_pretrain_v2/checkpoints/step039858-iou0.872.ckpt
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terramind_v3_pretrain_v2/checkpoints/step042924-iou0.872.ckpt
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terramind_v3_pretrain_v2/checkpoints/step058254-iou0.875.ckpt
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terramind_v3_pretrain_v2/checkpoints/step061320-iou0.867.ckpt
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terramind_v3_pretrain_v2/checkpoints/step064386-iou0.870.ckpt
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terramind_v3_pretrain_v2/checkpoints/step067452-iou0.875.ckpt
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terramind_v3_pretrain_v2/checkpoints/step076650-iou0.876.ckpt
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terramind_v3_pretrain_v2/checkpoints/step079716-iou0.876.ckpt
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terramind_v3_pretrain_v2/checkpoints/step085848-iou0.877.ckpt
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terramind_v3_pretrain_v2/checkpoints/step091981-iou0.877.ckpt
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terramind_v3_pretrain_warm/checkpoints/last.ckpt
ckpt · 4,79 GB · SHA-256 c16274340788…b4b6
terramind_v3_pretrain_warm/checkpoints/soup.ckpt
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terramind_v3_pretrain_warm/checkpoints/step002000-iou0.859.ckpt
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terramind_v3_pretrain_warm/checkpoints/step002000-iou0.864.ckpt
ckpt · 4,79 GB · SHA-256 a302d75fa45c…9c0d
terramind_v3_pretrain_warm/checkpoints/step002500-iou0.859.ckpt
ckpt · 4,79 GB · SHA-256 f7f48f390975…b2b5
terramind_v3_pretrain_warm/checkpoints/step003000-iou0.859.ckpt
ckpt · 4,79 GB · SHA-256 c6ecfa8b740f…bfcb
terramind_v3_pretrain_warm/checkpoints/step003500-iou0.862.ckpt
ckpt · 4,79 GB · SHA-256 8dffb892b036…514a
terramind_v3_pretrain_warm/checkpoints/step003500-iou0.865.ckpt
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terramind_v3_pretrain_warm/checkpoints/step004000-iou0.865.ckpt
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terramind_v3_pretrain_warm/checkpoints/step004500-iou0.865.ckpt
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terramind_v3_pretrain/checkpoints/last.ckpt
ckpt · 4,47 GB · SHA-256 7fa518e35cc7…5268
terramind_v3_pretrain/checkpoints/soup.ckpt
ckpt · 4,47 GB · SHA-256 1450f7fb353c…f2ad
terramind_v3_pretrain/checkpoints/step002000-iou0.839.ckpt
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terramind_v3_pretrain/checkpoints/step003500-iou0.853.ckpt
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terramind_v3_pretrain/checkpoints/step009500-iou0.859.ckpt
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terramind_v3_pretrain/checkpoints/step010000-iou0.859.ckpt
ckpt · 4,47 GB · SHA-256 fc50b507bbe4…070c
terramind_v3_pretrain/checkpoints/step010500-iou0.859.ckpt
ckpt · 4,47 GB · SHA-256 826ae21ce0ed…dde9
terramind_v3_smoke/checkpoints/last.ckpt
ckpt · 4,47 GB · SHA-256 4f53369d81aa…ebeb
--- license: apache-2.0 library_name: pytorch tags: - earth-observation - remote-sensing - semantic-segmentation - glacial-lakes - GLOF - foundation-model - terramind - multimodal - sentinel-2 - sentinel-1 - copernicus-dem - high-mountain-asia - tien-shan - climate-risk datasets: - abzal-glw/cryosentinel-glof-v3 language: - en metrics: - iou - f1 pipeline_tag: image-segmentation base_model: ibm-esa-geospatial/TerraMind-1.0-large model-index: - name: cryosentinel-terramind-v3 results: - task: type: image-segmentation name: Glacial-lake semantic segmentation dataset: type: abzal-glw/cryosentinel-glof-v3 name: CryoSentinel multimodal chips v3 (Almaty corridor) split: validation metrics: - type: iou value: 0.9557 name: IoU @ thr 0.5, TTA - type: iou value: 0.9596 name: IoU @ best thr 0.70, TTA - task: type: image-segmentation name: Glacial-lake semantic segmentation dataset: type: abzal-glw/cryosentinel-glof-v3 name: CryoSentinel multimodal chips v3 (Almaty corridor) split: test metrics: - type: iou value: 0.8918 name: IoU @ thr 0.5, TTA (raw) - type: iou value: 0.9082 name: IoU @ thr 0.5, TTA (label-corrected, n=658) --- # CryoSentinel — TerraMind-v3 Almaty Corridor Soup A foundation-model semantic-segmentation checkpoint for glacial lakes from joint Sentinel-1 SAR, Sentinel-2 optical, and Copernicus DEM imagery in High Mountain Asia. Released under Apache 2.0 as the supervision component of the [GLOFcast](https://github.com/abzalabdrash/glofcast) operational early-warning system. This model card documents the **Stage 4b v2 production soup** — a uniform weight-space average of five SWA snapshots from the Almaty-corridor finetune. It is the recommended checkpoint for inference. ## Key results | Metric | Value | |---|---:| | Validation IoU @ thr = 0.5, TTA on (n = 666) | **0.9557** | | Validation IoU @ best thr (0.70), TTA on | 0.9596 | | Held-out test IoU @ thr = 0.5, TTA on (n = 665) | 0.8918 | | Held-out test IoU, label-corrected (n = 658) | **0.9082** | Comparison to literature — same train/val protocol as Adhikari & Regmi (2025), arXiv:2512.24117: | Reference | Modality | Val IoU | |---|---|---:| | Adhikari & Regmi (2025) | S1 only | 0.9130 | | **CryoSentinel (this model)** | **S1 + S2 + DEM** | **0.9557** | ## Model details - **Architecture**: TerraMind 1.0 Large encoder (1.1 B parameters; Jakubik...
Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo abzal-glw/cryosentinel-terramind-v3
Source context: 0 downloads · 0 likes · Repo abzal-glw/cryosentinel-terramind-v3