Burdenthrive
/

cloud-detection-unet-regnetzd8

Image Segmentation

segmentation-models-pytorch

cloud-detection

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Burdenthrive commited on Aug 14, 2025

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@@ -29,7 +29,7 @@ This model predicts per‑pixel labels among: **clear**, **thick cloud**, **thin
 - **Input:** 13‑band Sentinel‑2 L1C tiles/patches (float32, shape `B×13×512×512`).
 - **Backbone:** `tu-regnetz_d8` (TIMM encoder via `segmentation_models_pytorch`).
-- **Output:** Logits `B×4×H×W` (apply softmax + argmax).
 - **Files:** `model.py`, `config.json`, and weights.
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 - **Input:** 13‑band Sentinel‑2 L1C tiles/patches (float32, shape `B×13×512×512`).
 - **Backbone:** `tu-regnetz_d8` (TIMM encoder via `segmentation_models_pytorch`).
+- **Output:** Logits `B×4×512×512` (apply softmax + argmax).
 - **Files:** `model.py`, `config.json`, and weights.
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