v2 — Powered by YOLOv26

Identify Myanmar Snakes
with AI

Upload a photo and instantly classify 10 snake species found across Myanmar. Built for biodiversity research, conservation, and public safety.

93.1% Top-1 Accuracy
99.7% Top-5 Accuracy
10 Species Covered
v2 Model on HuggingFace v1 Model on HuggingFace →
Try Classifier Read Research Report

See It in Action

Real-time inference — 276 ms from upload to classification

YOLOv2m-cls inference demo: Rhabdophis helleri classified at 100% confidence

Sample classification of Rhabdophis helleri (Heller’s Red-necked Keelback) at 100% confidence

Explore the Project

Snakes in Myanmar

Browse all 10 classified species with photos, scientific names, and venom information.

Snake Venoms

Learn about Neurotoxins, Hemotoxins — symptoms, first aid, and treatment.

Tech Details

YOLOv26 architecture, training pipeline, and performance benchmarks.

Research Report (v2)

Full methodology — dataset, training configs, results, and academic references.

About Project (v1)

Original VGG19-based classifier — project history, team, and roadmap.

v2 Model

YOLOv26

93.1% accuracy — Download from HuggingFace

v1 Model

VGG19

~62% accuracy — Download from HuggingFace

Try Classifier

Upload a photo for instant AI identification.