YO'L BELGILARINI TANIB OLISHDA MASHINALI O'QITISH USULLARINING QO'LLANILISHINI TADQIQ QILISH
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Abstract
Yo'l belgilari haqiqiy dunyoda vizual ko'rinishining keng o'zgaruvchanligi bilan tavsiflanadi. Masalan, yorug'likning o'zgarishi, o'zgaruvchan ob-havo sharoiti va qisman to'siqlar yo'l belgilarini idrok etishga ta'sir qiladi. Amalda, ko'p sonli turli xil belgilar sinflarini juda yuqori aniqlik bilan tanib olish kerak. Yo'l belgilari bu vazifani juda yaxshi bajaradigan odamlar uchun oson o'qilishi uchun yaratilgan. Biroq, kompyuter tizimlari uchun yo'l belgilarini tasniflash hali ham naqshni aniqlash muammosini keltirib chiqaradi. Tasvirga ishlov berish va mashinani o'rganish algoritmlari ushbu vazifani yaxshilash uchun doimiy ravishda takomillashtiriladi. Ammo bunday tizimlarni tizimli taqqoslash juda kam. Status-kvo qanday? Bugungi algoritmlar inson faoliyatiga erishadimi? Mashinani o'rganish bo'yicha zamonaviy algoritmlarning ishlashini baholash uchun biz 43 sinfda nemis yo'l belgilarining 50 000 dan ortiq tasvirlaridan iborat ommaviy yo'l belgilari ma'lumotlar to'plamini taqdim etamiz.
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