数据集格式:VOC格式+YOLO格式
压缩包内含:3个文件夹,分别存储图片、xml、txt文件
JPEGImages文件夹中jpg图片总计:9185
Annotations文件夹中xml文件总计:9185
labels文件夹中txt文件总计:9185
标签种类数:48
标签名称:["7_seg","arduino_mega","arduino_mini","arduino_nano","arduino_uno","battery_9v","bluetooth","breadboard","button","buzzer","capacitor","dc_motor","dht","display","esp32","esp_wifi","fan","flame_sensor","gaz","h_bridge","ir_receiver","ir_sensor","joystick","keypad","lcd","lcd_oled","ldr","led_matrix","lilypad","lipo","pile","pir","potentiometer","power_module","prototype_pcb","relai","rfid","rtc","servo","soil_moisture","solar_panel","sound","speaker","stepper_driver","stepper_motor","support_pile","switch","ultrasonic"]
每个标签的框数(注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):
7_seg 框数 = 638
arduino_mega 框数 = 420
arduino_mini 框数 = 308
arduino_nano 框数 = 1552
arduino_uno 框数 = 2536
battery_9v 框数 = 495
bluetooth 框数 = 626
breadboard 框数 = 4111
button 框数 = 2025
buzzer 框数 = 624
capacitor 框数 = 710
dc_motor 框数 = 869
dht 框数 = 338
display 框数 = 117
esp32 框数 = 187
esp_wifi 框数 = 185
fan 框数 = 149
flame_sensor 框数 = 78
gaz 框数 = 73
h_bridge 框数 = 522
ir_receiver 框数 = 119
ir_sensor 框数 = 358
joystick 框数 = 163
keypad 框数 = 107
lcd 框数 = 1499
lcd_oled 框数 = 430
ldr 框数 = 350
led_matrix 框数 = 345
lilypad 框数 = 71
lipo 框数 = 174
pile 框数 = 738
pir 框数 = 129
potentiometer 框数 = 764
power_module 框数 = 109
prototype_pcb 框数 = 1342
relai 框数 = 1855
rfid 框数 = 83
rtc 框数 = 433
servo 框数 = 2082
soil_moisture 框数 = 83
solar_panel 框数 = 116
sound 框数 = 87
speaker 框数 = 197
stepper_driver 框数 = 157
stepper_motor 框数 = 231
support_pile 框数 = 252
switch 框数 = 456
ultrasonic 框数 = 1085
总框数:30378
图片清晰度(分辨率:像素):清晰
图片是否增强:是
标签形状:矩形框,用于目标检测识别
数据集类型:149m
特别声明:本数据集不对训练的模型或者权重文件精度作任何保证,数据集只提供准确且合理标注
标注示例或图片概览:

