Thai Mango Variety Detection

Built object detection system for five Thai mango varieties. This project demonstrates practical execution from architecture and implementation to measurable delivery outcomes.

Personal ProjectsYear 2026

Project Overview

Objective

Built object detection system for five Thai mango varieties.

Stack

YOLOv9YOLOv10YOLOv26

Delivery highlights

  • Built an object detection model to detect and classify five Thai mango varieties (ChokAnan, KhiaoMoragot, MunDuanKao, NamDokMaiSeeThon, PhetBanLat) using YOLOv9, YOLOv10, and YOLOv26 by collecting and labeling a custom image dataset, preparing the data in YOLO format, and training the models for multi-class detection.
Back to Topic ProjectsBack to All Projects

Related Projects

3 items

Real-Time Smart Home Surveillance System for Parcel Delivery and Fence-Climbing Intrusion Detection

Personal ProjectsYear: 2026

Extended smart home monitoring with segmentation, tracking, and instant intrusion alerts.

Multilingual Video Understanding and Event Summarization System (Thai-English Timeline Intelligence)

Personal ProjectsYear: 2026

Built end-to-end multilingual video analysis with clip-level descriptions and bilingual summaries.

Object Detection and Segmentation Auto-Labeling

Personal ProjectsYear: 2025

Developed automatic and manual labeling pipeline for detection and segmentation datasets.