Oy 4 — Computer Vision + NLP
🎯 Bu oydagi maqsad
Oy oxirida siz quyidagilarni qila olasiz:
- OpenCV bilan klassik image processing
- YOLO va boshqa pretrained model'lar bilan object detection
- OCR (Tesseract, EasyOCR, PaddleOCR) bilan matn ajratish
- spaCy va NLTK bilan text preprocessing
- HuggingFace Transformers bilan BERT-style modellarni qo'llash
Haftalik taqsimot
| Hafta | Mavzu | Vaqt |
|---|---|---|
| Hafta 1 | OpenCV + Image Processing | 10-12 soat |
| Hafta 2 | YOLO, Detection, Segmentation, OCR | 10-12 soat |
| Hafta 3 | NLP asoslari + Text Preprocessing | 10-12 soat |
| Hafta 4 | Transformers + HuggingFace | 10-12 soat |
Boblar tartibi
- Computer Vision ga kirish
- OpenCV bilan ishlash
- YOLO va Object Detection
- NLP asoslari
- Text Preprocessing
- Transformers ga kirish
- Mashqlar
Oy oxirida nima qila olasiz?
- Rasm/video upload'ni qabul qilib YOLO bilan object detection qaytaradigan FastAPI servis
- OCR servisi — passport, ID kartlardan ma'lumot ajratish
- HuggingFace pretrained model bilan sentiment analyzer va NER
- Oy 5 (LLM/RAG) ga to'liq tayyor bo'lish
Backend Dev uchun maslahat
Bu oyda asosan pretrained model'lardan foydalanish:
- ResNet/EfficientNet (Oy 3) — image classification uchun
- YOLO — object detection
- Segment Anything (SAM) — segmentation
- BERT/RoBERTa — text understanding
- Whisper — speech-to-text
- Stable Diffusion — image generation
Sizning vazifangiz — bu modellarni production'ga olib chiqish, mahalliy tilingiz (o'zbek) uchun fine-tune qilish, FastAPI/Django ekosistemasi bilan birlashtirish.
Boshlash
Computer Vision ga kirish bilan boshlang.