| | --- |
| | license: cc-by-4.0 |
| | language: |
| | - uz |
| | tags: |
| | - object-detection |
| | - food-detection |
| | - uzbek-food |
| | - yolov8 |
| | - computer-vision |
| | metrics: |
| | - mAP |
| | --- |
| | |
| | # 🍽️ UzDataLab — Milliy Taomlar Detector v0.1 |
| |
|
| | O'zbekistonning birinchi milliy taomlar object detection modeli. |
| |
|
| | Bu UzDataLab team tomonidan test versiyada sinab ko'rildi. |
| |
|
| | ## Model haqida |
| |
|
| | | | | |
| | |---|---| |
| | | **Arxitektura** | YOLOv8s | |
| | | **Dataset** | 212 ta rasm | |
| | | **Classlar** | 46 ta | |
| | | **mAP50** | 29.7% | |
| | | **Versiya** | v0.1 | |
| | | **Litsenziya** | CC BY 4.0 | |
| |
|
| | ## Ishlatish |
| | ```python |
| | from ultralytics import YOLO |
| | |
| | model = YOLO("UzDataLab/milliy-taomlar-detector") |
| | results = model.predict("taom_rasmi.jpg", conf=0.25) |
| | results[0].show() |
| | ``` |
| |
|
| | ## Natijalar |
| |
|
| | | Metric | Qiymat | |
| | |--------|--------| |
| | | mAP50 | 29.7% | |
| | | mAP50-95 | 17.1% | |
| | | Inference | 18ms | |
| |
|
| | ## Keyingi versiya — v1.0 |
| |
|
| | - 10000+ rasm |
| | - Faqat dish_* classlar |
| | - mAP50: 60%+ maqsad |
| | |
| | **2026 © UzDataLab Team** |
| | |
