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Phasuwut

Full Stack · AI Engineer · Thailand

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© 2026 Phasuwut Chunnapiya

phasuwut.job@gmail.com

Thai Mango Variety Detection

Prepared a labeled image dataset for five Thai mango varieties.

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Personal ProjectsYear 2026Latest activity 2026-02-24

Project Overview

Objective

Prepared a labeled image dataset for five Thai mango varieties.

Stack

Computer Vision DatasetYOLO Annotation FormatImage Labeling

Delivery highlights

  • Collected and organized labeled images for five Thai mango varieties: ChokAnan, KhiaoMoragot, MunDuanKao, NamDokMaiSeeThon, and PhetBanLat, with annotations intended for multi-class object-detection experiments.
  • The reviewed project root is a dataset/assets snapshot rather than runnable training source. It can support later YOLO experiments, but the audit does not confirm a specific trained model, evaluation score, inference service, or deployed application.
  • Before broader use, the collection needs a clear dataset card covering image provenance, licence, class balance, split strategy, annotation quality, and permitted use.
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System workflow

Source-reviewed processing sequence

A conservative end-to-end boundary taken from the source audit. Specific endpoints, storage writes, and external calls are only claimed in the project-specific diagrams when the implementation confirms them.

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