• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0410015 (2021)
Xinyu Liang1, Haokun Lin2, Hui Yang1, Kaihong Xiao3, and Jichuan Quan1、*
Author Affiliations
  • 1Institute of Command and Control Engineering, Army Engineering University, Nanjing, Jiangsu 210007, China
  • 2College of Software Engineering, Huazhong University of Science & Technology, Wuhan, Hubei 430070, China;
  • 3Unit 73676 of The Chinese People's Liberation Army, Wuxi, Jiangsu 214400, China
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    DOI: 10.3788/LOP202158.0410015 Cite this Article Set citation alerts
    Xinyu Liang, Haokun Lin, Hui Yang, Kaihong Xiao, Jichuan Quan. Construction of Semantic Segmentation Dataset of Camouflage Target Image[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410015 Copy Citation Text show less
    Construction framework of the dataset
    Fig. 1. Construction framework of the dataset
    Sample images for 4 types of scenarios. (a) Rainforest; (b) jungle; (c) snowfield; (d) mountain
    Fig. 2. Sample images for 4 types of scenarios. (a) Rainforest; (b) jungle; (c) snowfield; (d) mountain
    Sample images of multi-scale target
    Fig. 3. Sample images of multi-scale target
    Annotation flow chart of the dataset
    Fig. 4. Annotation flow chart of the dataset
    Annotated sample images of the CSS dataset. (a) Original images; (b) annotated images; (c) annotated images with mask
    Fig. 5. Annotated sample images of the CSS dataset. (a) Original images; (b) annotated images; (c) annotated images with mask
    Distribution information of multi-scale targets in different scenarios
    Fig. 6. Distribution information of multi-scale targets in different scenarios
    Distribution of camouflage types in the CSS dataset
    Fig. 7. Distribution of camouflage types in the CSS dataset
    Segmentation effects of different models according to different target types. (a) Large target; (b) medium target; (c) small target
    Fig. 8. Segmentation effects of different models according to different target types. (a) Large target; (b) medium target; (c) small target
    Camouflage modelCamouflage pattern
    German WWII SS camouflagemountain camouflage
    A-TACS AUmountain camouflage
    Chinese type 07 arid camouflagedesert camouflage
    Chinese type 07 universal camouflageuniversal camouflage
    Germansnow camouflagesnowfield camouflage
    Russian VSR-93 camouflagejungle camouflage
    Swedish M90 camouflagejungle camouflage
    Greeklizard camouflagejungle camouflage
    Belgianbrush stroke camouflagerainforest camouflage
    Finnish M05 camouflagerainforest camouflage
    Table 1. Information of camouflage types in the dataset
    Target-scaleSmall targetMedium targetLarge target
    Label number538834192045
    Table 2. Distribution information of multi-scale targets in the dataset
    MethodSegNetPSPNetDeepLab v3+
    Small target69.7773.2483.91
    Medium target75.1682.8386.94
    Large target85.6588.2793.20
    Table 3. mIoU of different models on the CSS dataset unit: %
    Xinyu Liang, Haokun Lin, Hui Yang, Kaihong Xiao, Jichuan Quan. Construction of Semantic Segmentation Dataset of Camouflage Target Image[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410015
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