面向血细胞检测+计数数据集,已经整理成 VOC 格式,可以直接用于目标检测算法的训练,如 YOLO 等目标检测算法的训练。血细胞检测数据集图片质量好,可直接训练出一个血细胞检测模型,或者作为血细胞检测数据集的补充。
项目细节 ==> 具体参见项目 README.md
├── BCCD
│ ├── Annotations
│ │ └── BloodImage_00XYZ.xml (364 items)
│ ├── ImageSets # Contain four Main/*.txt which split the dataset
│ └── JPEGImages
│ └── BloodImage_00XYZ.jpg (364 items)
├── dataset
│ └── mxnet # Some preprocess scripts for mxnet
├── scripts
│ ├── split.py # A script to generate four .txt in ImageSets
│ └── visualize.py # A script to generate labeled img like example.jpg
├── example.jpg # A example labeled img generated by visualize.py
├── LICENSE
└── README.md
<annotation>
<folder>JPEGImages</folder>
<filename>BloodImage_00000.jpg</filename>
<path>/home/pi/detection_dataset/JPEGImages/BloodImage_00000.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>640</width>
<height>480</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>WBC</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>260</xmin>
<ymin>177</ymin>
<xmax>491</xmax>
<ymax>376</ymax>
</bndbox>
</object>
...
<object>
...
</object>
</annotation>
https://download.csdn.net/download/weixin_42405819/89093510