Burdenthrive
/

cloud-detection-segformer-mit_b4-RGB

Image Segmentation

segmentation-models-pytorch

cloud-detection

Model card Files Files and versions

Burdenthrive commited on Aug 14, 2025

Commit

4cc224e

·

verified ·

1 Parent(s): 9ced120

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -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`).
 ---

 - **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.
 ---