Dynamic Logistics
SECTOR 03

Dynamic Logistics

Track, count, and route with precision.

Logistics operations depend on vehicle detection, package counting, and route optimization from aerial and dock cameras. cvPal helps logistics teams build multi-object tracking and detection datasets that scale across warehouses and fleets.

1

Video tracking datasets

Import MOT-format video tracking data or build new sequences from warehouse cameras. cvPal supports multi-object tracking with frame-level annotations, making it straightforward to train models for package counting and vehicle tracking.

2

Combine aerial and ground views

Merge drone imagery datasets with dock camera feeds. Different annotation formats and class names are reconciled automatically. Deduplicate overlapping captures across time windows to keep training data clean.

3

Scale annotation teams safely

Add annotators as team members with role-based access. Every edit is versioned and attributed — you always know who labeled what. Viewers can review datasets without modification rights, keeping production data stable.

4

Export for diverse deployment

Edge devices at loading docks need YOLO. Cloud dashboards need COCO. Research teams need HuggingFace. Export the same dataset in any format, filtered by split and class, tracked in your export library.