Handheld
TobSet
Tobacco crop and weed detection
Manually captured field images from Swabi, Pakistan, with 7000 tobacco-plant images and 1000 images of bare soil and weeds, labeled using LabelImg.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Handheld
- Environment
- Outdoor
- Data origin
- Real-world
- Sensor count
- 1
- 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.
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.
Cameras
field-camera
- Model
- Not reported
- Setup
- Not Reported
- Count
- 1
- Effective cameras
- 1
- Modality
- Rgb
- Resolution
- 640 x 480
- Rate
- Not reported
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- 65.4 deg
- VFOV
- 51.4 deg
- Notes
- Manually captured still images. The acquisition camera is described as 13 megapixels with a Sony IMX258 Exmor RS CMOS sensor and 28 mm focal length; these identify sensor hardware/capability, not the complete camera model or released pixel count. Section 2 reports 640 × 480 dataset images; Section 6 calls the training images down-sampled to that size.
IMUs
GNSS
LiDAR
Radar
Pitot tube
Additional sensors
Annotations
Reported annotation availability and task support.
- Availability
- Available
- Format
- Not reported
- Class count
- Not reported
Citation
Citation key and BibTeX kept at the end of the page for reference.
@article{alam2022tobset,
author = {Alam, Muhammad Shahab and Alam, Mansoor and Tufail, Muhammad and Khan, Muhammad Umer and Güneş, Ahmet and Salah, Bashir and Nasir, Fazal E. and Saleem, Waqas and Khan, Muhammad Tahir},
title = {TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots},
journal = {Applied Sciences},
year = {2022},
volume = {12},
pages = {1308},
doi = {10.3390/app12031308}
}
Dataset corrections
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