TAMPAR: Visual Tampering Detection for Parcels Logistics in Postal Supply Chains
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/10057089
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资源简介：
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".
创建时间：
2023-11-13
