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5 ta ish

Ish: YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

  1. An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images

    Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev +2

    MaqolaFire Detection and Safety SystemsSensors20238 iqtibos
    ABI

  2. Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches

    Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov +1

    MaqolaFire Detection and Safety SystemsProcesses20247 iqtibos
    ABI

  3. Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection

    Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

    MaqolaFire Detection and Safety SystemsFire20247 iqtibos
    ABI

  4. Object Extraction-Based Comprehensive Ship Dataset Creation to Improve Ship Fire Detection

    Farkhod Akhmedov, Sanjar Mukhamadiev, Akmalbek Abdusalomov +1

    MaqolaFire Detection and Safety SystemsFire20241 iqtibos
    ABI

  5. Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection

    Xiuhao Liang, Jun Xiang, Sheng Qin +7

    MaqolaAdvanced Neural Network ApplicationsSmart Agricultural Technology20250 iqtibos
    ABI