Platform not reported
Active Vision Dataset
Active vision and object instance detection
Dense real indoor RGB-D imagery with object-instance bounding boxes and navigation pointers for evaluating active recognition.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Not reported
- Environment
- Indoor
- Data origin
- Real-world
- Sensor count
- 2
- Ground truth
- Not reported
- Calibration
- Not reported
- Annotations
- Available
Sensor overview
High-level sensor availability before the detailed sensor records below.
Ground truth
Reference scope, method, rate, coverage, and provenance.
Not reported
Calibration and synchronization
Reported calibration level, reproducibility signals, and supporting notes.
- Level
- Not reported
- Processed parameters
- Not reported
- Raw calibration data
- Not reported
- Calibration targets
- Not reported
Calibration data
Calibration reproducibility details are not reported.
Notes
Not reportedKnown or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Improved depth and reconstruction remain noisy; boxes were manually inspected.
Bounding-box difficulty measures size; an occlusion difficulty measure is left for future work.
Cameras
kinect-rgbd
- Model
- Kinect v2
- Setup
- Rgbd
- Count
- 1
- Effective cameras
- 2
- Modality
- Rgbd
- Resolution
- Not reported
- Rate
- Not reported
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Discrete views at 30-degree rotations and approximately 30-centimeter grid spacing; these are spatial sampling intervals, not temporal frame rates.
IMUs
Not reported
GNSS
Not reported
LiDAR
Not reported
Radar
Not reported
Pitot tube
Not reported
Additional sensors
Not reported
Annotations
Reported annotation availability and task support.
- Availability
- Available
- Format
- Not reported
- Class count
- 33
Semantic segmentation
Not reported
Instance segmentation
Not reported
Object detection
Available
Optical flow
Not reported
Depth ground truth
Not reported
Citation
Citation key and BibTeX kept at the end of the page for reference.
@misc{ammirato2017activevision,
title={A Dataset for Developing and Benchmarking Active Vision},
author={Phil Ammirato and Patrick Poirson and Eunbyung Park and Jana Košecká and Alexander C. Berg},
year={2017},
eprint={1702.08272},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/1702.08272v2}
}
Dataset corrections
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