StrongBaseline YOLOv12-BoT-SORT-ReID is a dataset of video demonstrations for object detection and tracking models. The dataset, created by author wish44165, was last updated on April 30, 2025. It contains preview and full videos showing model inferences and single-frame enhancements from a CVPR 2025 workshop.
Use Cases
- Benchmarking object tracking performance based on the provided inference videos.
- Visualizing the output of YOLOv12 and BoT-SORT models based on the demonstration content.
- Studying single-frame enhancement techniques for object detection based on the described video examples.
Strengths
- Demonstrations are linked to a specific academic workshop (CVPR 2025 Anti-UAV Workshop).
- Provides multiple video examples (Track 1, Track 2, Track 3) for comparison.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count and file formats are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- wish44165 on Hugging Face
- Freshness
- Last updated 2025-04-30 07:06:41; freshness should be verified.