| 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% | |