Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
Large, multimodal biometric dataset: It contains still images and videos of over 1,000 people captured at various ranges (up to 1,000 meters) and elevations (up to 400 meters) using a diverse set of cameras (commercial, military-grade, specialized).
Focus on challenging scenarios: Designed to address limitations of existing datasets, it includes data with extreme poses, low resolutions, and atmospheric distortions to push the boundaries of biometric recognition algorithms.
Rich annotations and diversity: Each data point is accompanied by detailed metadata (sensor details, weather conditions) and manual annotations (bounding boxes, yaw/pitch angles) for face and whole-body regions. The dataset also ensures demographic diversity for robust algorithm development.
Variants: BTS3.1
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Face Verification | CoNAN (Adaface) | CoNAN: Conditional Neural Aggregation Network … | 2023-07-16 |
| Face Verification | CAFace (Adaface) | Cluster and Aggregate: Face Recognition … | 2022-10-19 |
| Face Verification | MCN (Adaface) | Multicolumn Networks for Face Recognition | 2018-07-24 |
| Face Recognition | MCN | Multicolumn Networks for Face Recognition | 2018-07-24 |
| Face Verification | NAN (Adaface) | Neural Aggregation Network for Video … | 2016-03-17 |
| Face Verification | MCN (Arcface) | Neural Aggregation Network for Video … | 2016-03-17 |
| Face Verification | NAN (Arcface) | Neural Aggregation Network for Video … | 2016-03-17 |
Recent papers with results on this dataset: