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README.md

@@ -1,49 +1,50 @@
-# Model Card: 5-Task Robot Classifier
-
-## Model
-- Name: `best_licensed.pt`
-- Architecture: `MobileNetV3-Small` classifier
-- Tasks: `cleaning`, `cooking`, `dishwashing`, `laundry`, `organizing`
-
-## Intended Use
-- Classify household task from RGB frame for non-safety-critical robot workflows.
-
-## Out of Scope
-- Safety-critical decisions
-- Medical/legal/security use
-- Tasks outside the 5-class scope
-
-## Training Data
-- Source: Licensed/owned dataset only
-- License ledger: `data_licenses.csv`
-- Dataset version: `licensed_dataset_v1` (fill exact hash/version)
-
-## Evaluation Protocol
-- External set: `isaac_eval/labels.csv` + frames
-- Command:
-```bash
-python isaac_eval.py --checkpoint best_licensed.pt --labels-csv isaac_eval/labels.csv --images-root isaac_eval
-```
-
-## Reported Metrics (fill before publish)
-- Overall accuracy: `__%`
-- Cleaning: `__%`
-- Cooking: `__%`
-- Dishwashing: `__%`
-- Laundry: `__%`
-- Organizing: `__%`
-
-## Known Failure Modes
-- Visual confusion between cleaning vs organizing in cluttered environments
-- Domain shift from training camera to deployment camera
-- Low light / motion blur
-
-## Mitigations
-- Confidence thresholding
-- Human-in-the-loop fallback
-- Periodic retraining with licensed edge cases
-
-## Versioning
-- Model version: `v1.0.0`
-- Date: `YYYY-MM-DD`
-- Owner: `Company/Team`
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: image-classification
+library_name: pytorch
+tags:
+- robotics
+- humanoid
+- image-classification
+- task-planning
+- cpu-inference
+model-index:
+- name: humanoid-brain-v1
+  results:
+  - task:
+      type: image-classification
+      name: 5-task chore classification
+    dataset:
+      name: Isaac Eval (500 samples)
+      type: custom
+    metrics:
+    - type: accuracy
+      value: 97.6
+      name: overall_accuracy
+---
+
+# Humanoid Brain v1
+
+MobileNetV3-Small fine-tuned for 5 household chores:
+- cleaning
+- cooking
+- dishwashing
+- laundry
+- organizing
+
+## Usage
+Use with the SDK:
+`https://github.com/krishthesmart/humanoid-brain`
+
+## Checkpoint
+- `model.pt`
+
+## Reported Eval
+- Overall: 97.6% (488/500)
+- Cleaning: 92%
+- Cooking: 100%
+- Dishwashing: 100%
+- Laundry: 100%
+- Organizing: 96%