Image Annotation QC

Visualize bounding boxes and class labels on images with support for COCO, YOLO, VOC, and LabelMe annotation formats.

Detect and filter out low-quality images by analyzing blur, brightness, and resolution to clean up image datasets efficiently.

Crop objects from images using bounding box annotations in COCO, YOLO, VOC, or LabelMe formats with optional padding and batch processing.

Run a structured quality control audit on any codebase. Use when asked to QC, audit, review, or check code quality for a project. Supports Python, TypeScript...

Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.