【目标检测】电子元器件检测数据集9185张YOLO+VOC格式

作品简介

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

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