Burdenthrive
/

cloud-detection-segformer-mit_b4-RGB

Image Segmentation

segmentation-models-pytorch

cloud-detection

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Burdenthrive commited on 28 days ago

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@@ -31,7 +31,7 @@ This model predicts per‑pixel labels among: **clear**, **thick cloud**, **thin
 - **Input:** Sentinel‑2 L1C RGB tiles/patches (float32, shape `B×3×H×W`, bands **B04‑B03‑B02**).
 - **Backbone:** `mit_b4` (MiT encoder via `segmentation_models_pytorch`).
 - **Output:** Logits `B×4×H×W` (apply softmax + argmax).
-- **Files:** `model.py`, `config.json`, and weights (`model.safetensors` and/or `best_model_mc.pth`).
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 - **Input:** Sentinel‑2 L1C RGB tiles/patches (float32, shape `B×3×H×W`, bands **B04‑B03‑B02**).
 - **Backbone:** `mit_b4` (MiT encoder via `segmentation_models_pytorch`).
 - **Output:** Logits `B×4×H×W` (apply softmax + argmax).
+- **Files:** `model.py`, `config.json`, and weights.
 ---