Kiduki Care AI GRU Multitask

This repository contains GRU-based multitask classifiers trained from first-person caregiving video clips.

Included checkpoints

  • best_model_all_data.pt
    • Trained on all data (train_on_all_data=true)
    • No held-out validation/test in this setting
  • best_model_baseline.pt
    • Train/val/test split baseline
    • Test metrics are available in metrics_baseline.json

Tasks

The model predicts four labels per clip:

  1. Task label (task)
  2. Stage label (stage)
  3. Transfer type (transfer_type)
  4. Transfer route (transfer_route)

Files

  • best_model_all_data.pt: all-data trained checkpoint
  • best_model_baseline.pt: baseline checkpoint
  • label_maps_all_data.json, label_maps_baseline.json: label index maps
  • metrics_all_data.json, metrics_baseline.json: training/evaluation metrics
  • train_gru_baseline.py: training script
  • predict_video.py: video inference script

Notes

  • This is an application-oriented project for caregiving support workflows.
  • The baseline checkpoint includes held-out test results.
  • The all-data checkpoint may have higher in-sample performance but has no held-out test in current artifacts.
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