SAM3 Dashboard & Playground
An interactive full-stack dashboard for Segment Anything Model 3 (SAM3), providing a complete pipeline for image segmentation, model fine-tuning, data labeling, and performance evaluation on geospatial/satellite imagery.
in-progress
public
Project Highlights
Built a complete SAM3 environment with Dashboard (system health), Inference (text/box/point prompts), Training (fine-tuning with TensorBoard), and Evaluation (IoU metrics).
Implemented a 3-phase Data Engine pipeline: Batch Processing → Human Verification (accept/reject/flag) → Polygon Correction with Fabric.js editor.
Developed a Polygon Editor with vertex editing, simplification, multi-select, keyboard shortcuts (V/E/H/D modes), undo/redo, and zoom/pan controls.
Created Dataset management for uploading ZIP datasets (COCO format), converting image+mask folders, and validating local paths.
Exports COCO-format datasets with RLE encoding ready for SAM3 training.
Backend built with FastAPI, SQLAlchemy (SQLite), and OpenCV for image processing.
Frontend built with Next.js 16, React 19, TypeScript, TailwindCSS v4, DaisyUI v5, Fabric.js, and Chart.js.
Supports TIFF, PNG, JPG formats with real-time mask visualization overlays.
Tech Stack
Next.js 16React 19TypeScriptTailwindCSS 4DaisyUI 5Fabric.jsChart.jsFastAPISQLAlchemyPyTorchCUDA 12.6