README.md

metadata

title: Visionary
emoji: 🚗
colorFrom: red
colorTo: gray
sdk: static
app_file: index.html
pinned: false
short_description: Car make/model/year recognition, 196 classes, in-browser

Visionary — fine-grained vehicle recognition (runs in your browser)

Upload a car photo → YOLOv8n localises the vehicle → an adaptive CLAHE illumination gate (OpenCV.js) normalises dark or flat images → an INT8 ConvNeXt fine-tuned on Stanford Cars identifies make, model and year (196 classes) with temperature-calibrated confidence. Intermediate classical-CV stages (CLAHE, bilateral filter, Canny, contours) are shown for every image.

Everything runs locally via ONNX Runtime Web + OpenCV.js; photos never leave the device.

Official test set (8,041 unseen images): 94.1% Top-1 / 99.1% Top-5 (Lite, default) · 94.4 % with Pro (ConvNeXt-Small @320).