
Merged event timeline
Single file containing automated tracking results and manual annotations with identical timestamps — no post-hoc alignment.
Manual annotation tools integrated with automated tracking
Mark custom behavioral events with configurable keyboard shortcuts directly on the tracking timeline — automated and manual scores merged in a single time-aligned output.

When automated tracking cannot score a behavior, researchers switch to separate annotation tools (BORIS, Solomon Coder, Noldus Observer) that produce disconnected event logs. Merging manual annotations with automated tracking requires custom alignment scripts.
ConductVision includes a built-in annotation panel with configurable keyboard shortcuts. Press a key to mark event onset, release for offset. Manual events appear on the same timeline as automated tracking data — no alignment needed.

Single file containing automated tracking results and manual annotations with identical timestamps — no post-hoc alignment.

Manual annotations exported separately with event type, onset, offset, duration, and frame numbers.

When multiple users annotate the same recording, compute Cohen's kappa and percent agreement for scoring validation.
Some behaviors (mounting, aggressive postures, seizure subtypes) are too rare for automated classifier training. Manual annotation captures them with frame-level precision.
Manual annotations serve as labeled training data for custom behavior classifiers — annotate examples, train the model, automate future scoring.
Manually score a subset of recordings to validate automated classifier accuracy — compute agreement between human and machine.
Social behaviors (mounting, chasing, grooming another) require contextual judgment. Manual scoring with keyboard shortcuts enables rapid multi-behavior annotation.
| Feature | ConductVision | Typical systems |
|---|---|---|
| Integration with tracking | Same timeline, no alignment needed | Separate tool, manual alignment |
| Keyboard shortcuts | Fully configurable | Fixed or limited shortcuts (BORIS) |
| Merged output | Auto + manual in single file | Separate outputs, custom merge |
| Inter-rater reliability | Built-in kappa calculation | External calculation |
| Frame-level precision | 33 ms (video frame rate) | Varies by tool |

Custom ethogram editor with hierarchical categories, exclusivity rules, and keyboard shortcut mapping.

ML-powered frame-level behavioral classification with temporal smoothing and custom classifier training.

Train and validate custom behavior classifiers on lab-specific annotated data.
Set up keyboard shortcuts for your behavioral events and start annotating alongside automated tracking.