1.输电塔绝缘子上鸟巢检测Python&YOLOv5
(1)图片检测:

(2)技术博客:
[完整源码&UI界面&视频安装教程&鸟巢数据集]输电塔绝缘子上鸟巢检测Python&YOLOv5源码 - 知乎 (zhihu.com)
(3)完整视频演示:
[项目分享]输电塔绝缘子上鸟巢检测Python&YOLOv5源码哔哩哔哩bilibili
(4)部分教程展示:

2.包含鸟巢目标检测图像数据集


3.所需依赖库(安装方法教程有视频教程)
# pip install -r requirements.txt
# Base ----------------------------------------
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.1.2
Pillow>=7.1.2
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1
PyQt5
tqdm>=4.41.0
# Logging -------------------------------------
tensorboard>=2.4.1
# wandb
# Plotting ------------------------------------
pandas>=1.1.4
seaborn>=0.11.0
# Export --------------------------------------
# coremltools>=4.1 # CoreML export
# onnx>=1.9.0 # ONNX export
# onnx-simplifier>=0.3.6 # ONNX simplifier
# scikit-learn==0.19.2 # CoreML quantization
# tensorflow>=2.4.1 # TFLite export
# tensorflowjs>=3.9.0 # TF.js export
# Extras --------------------------------------
# albumentations>=1.0.3
# Cython # for pycocotools https://github.com/cocodataset/cocoapi/issues/172
# pycocotools>=2.0 # COCO mAP
# roboflow
thop # FLOPs computation