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pith:XO7D4KV3

pith:2026:XO7D4KV36DLYHPNICA37IV7ACE
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TSBOW: Traffic Surveillance Benchmark for Occluded Vehicles Under Various Weather Conditions

Chi Dai Tran, Duong Khac Vu, Duong Nguyen-Ngoc Tran, Huy-Hung Nguyen, Hyung-Joon Jeon, Hyung-Min Jeon, Jae Wook Jeon, Long Hoang Pham, Ngoc Doan-Minh Huynh, Quoc Pham-Nam Ho, Son Hong Phan, Tai Huu-Phuong Tran, Trinh Le Ba Khanh

The TSBOW dataset supplies 32 hours of real urban traffic video to benchmark detection of occluded vehicles in extreme weather.

arxiv:2602.05414 v1 · 2026-02-05 · cs.CV

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\pithnumber{XO7D4KV36DLYHPNICA37IV7ACE}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

This study introduces the Traffic Surveillance Benchmark for Occluded vehicles under various Weather conditions (TSBOW), a comprehensive dataset designed to enhance occluded vehicle detection across diverse annual weather scenarios.

C2weakest assumption

The assumption that the 32 hours of urban footage and manual annotations accurately capture the full range of real-world occlusion and extreme-weather challenges without significant collection or labeling biases.

C3one line summary

TSBOW is a large-scale public dataset of traffic CCTV footage in diverse weather conditions with annotations for occluded vehicles to benchmark object detection performance.

References

14 extracted · 14 resolved · 1 Pith anchors

[1] Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, and Jieping Ye 2009 · doi:10.1109/cvpr.2009.5206848
[2] Lawrence Zitnick 2014
[3] Lvis: A dataset for large vocabulary instance segmentation 2019
[4] LVIS: A dataset for large vocabulary instance segmentation 2019 · doi:10.1109/cvpr.2019.00550
[5] doi:https://doi.org/10.1016/j.cviu.2020.102907 2020 · doi:10.1016/j.cviu.2020.102907

Formal links

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Receipt and verification
First computed 2026-05-18T02:45:05.427844Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bbbe3e2abbf0d783bda81037f457e0110c8a4a80e7339f51d905d820296561b3

Aliases

arxiv: 2602.05414 · arxiv_version: 2602.05414v1 · doi: 10.48550/arxiv.2602.05414 · pith_short_12: XO7D4KV36DLY · pith_short_16: XO7D4KV36DLYHPNI · pith_short_8: XO7D4KV3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XO7D4KV36DLYHPNICA37IV7ACE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: bbbe3e2abbf0d783bda81037f457e0110c8a4a80e7339f51d905d820296561b3
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-02-05T07:52:37Z",
    "title_canon_sha256": "ad1cee26019740ab6c61ff8f8a854dd502bb6dc29b508b48d6e0815db9aa15c0"
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  "source": {
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