Datasets › BEOID
BEOID (Bristol Egocentric Object Interactions Dataset)
The BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a door. The dataset is recorded at six locations: kitchen, workspace, laser printer, corridor with a locked door, cardiac gym, and weight-lifting machine. For the first four locations, sequences from five different operators were recorded (two sequences per operator), and from three operators for the last two locations (three sequences per operator). The wearable gaze tracker hardware (ASL Mobile Eye XG) was used to record the dataset. Synchronized wide-lens video data with calibrated 2D gaze fixations are available. Moreover, we release 3D information using a pre-built cloud point map and PTAM tracking. Three-dimensional information of the image and the gaze fixations are included.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Weakly Supervised Action Localization | BEOID | HR-Pro mAP@0.1:0.7 59.4 | HR-Pro: Point-supervised Temporal Action Localization... | pipixin321/hr-pro | 5 | Compare |
Papers archive 2025-07-28
5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation | 1 | 1 | 24 Aug 2023 | not harvested |
| Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization | 1 | 1 | 11 Aug 2021 | not harvested |
| Temporal Action Segmentation from Timestamp Supervision | 1 | 1 | 11 Mar 2021 | ran 4 of 4 samples (0 unverified; 4 pointer-only for licence) |
| Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses | 0 | 1 | 15 Dec 2020 | not harvested |
| SF-Net: Single-Frame Supervision for Temporal Action Localization | 1 | 1 | 15 Mar 2020 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BEOID
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections