Published October 31, 2023
| Version 1.0
Dataset
Open
TAMPAR: Visual Tampering Detection for Parcels Logistics in Postal Supply Chains
- 1. FZI Research Center for Information Technology
-
2.
Karlsruhe Institute of Technology
Description
TAMPAR is a real-world dataset of parcel photos for tampering detection with annotations in COCO format. For details see our paper and for visual samples our project page. Features are:
- >900 annotated real-world images with >2,700 visible parcel side surfaces
- 6 different tampering types
- 6 different distortion strengths
Relevant computer vision tasks:
- bounding box detection
- classification
- instance segmentation
- keypoint estimation
- tampering detection and classification
If you use this resource for scientific research, please consider citing our WACV 2024 paper "TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains".
Files
tampar.zip
Files
(6.4 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:7a92e796a263998ab5437399f1771fcb
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6.4 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Conference paper: https://a-nau.github.io/tampar (URL)
- Conference paper: arXiv:2311.03124 (arXiv)