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:
- Task label (
task)
- Stage label (
stage)
- Transfer type (
transfer_type)
- 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.