docs: static space metadata and architecture index

Authored by Danesh Selwal <selwaldanesh@gmail.com>
Co-authored-by: Claude <claude@anthropic.com>

README.md

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 title: Classification 6Bands Workspace
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+emoji: 🛰️
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 sdk: static
 pinned: false
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 6-Band Hyperspectral Uncertainty Quantification Workspace
+
+Comprehensive benchmark repository housing Jupyter notebooks, conformal evaluation pipelines, loss function trials, and result tables for 6-band remote sensing classification.
+
+## Benchmark Modules
+- `/baseline/`: Standard CNN Backbones (AlexNet, GFNet, ViT_UNet)
+- `/credit/`: Confidence Regularized Evidential Deep Inference
+- `/ensemble/`: Deep Ensembles & CreDE Conformal Evaluation
+- `/multicp/`: Multi-Head Conformal Prediction
+- `/sacp/`: Self-Adaptive Conformal Prediction
+- `/multicp_sacp/`: Unified MultiCP-SACP Architecture
+- `/spatialgcn/`: Spatial-Spectral Graph Convolutional Network
+- `/mambahsi/`: State-Space Mamba Hyperspectral Vision
+- `/dofa/`: Dynamic Optical Foundation Model & HieraViT Fusion
+- `/georsclip/`: Geospatial Remote Sensing CLIP with Text Embeddings
+- `/dapm/`: Diffusion-Augmented Probabilistic Model (2-stage)
+- `/trials/`: 6 Loss Functions (CB-Focal, CDL, Conformal-Reg, EDL, EDL-v2, Focal Loss)
+
+## Attribution
+- **Author**: Danesh Selwal (`selwaldanesh@gmail.com`)
+- **Co-authored by**: Claude (`claude@anthropic.com`)