vlm-visual-refiner

To calibrate VLM-generated chart bounding boxes, this Skill validates relative coordinates and enforces safety margins using local figure titles as anchor labels. It outputs a structured 2D layout JSON with validated coordinates to prevent improper cropping and hallucinated annotations in scientific charts.

Improperly cropped VLM chart bounding boxes occur when relative coordinates lack safety margins. This Skill addresses that by aligning boundaries with local figure titles and validating the coordinates, outputting a structured 2D layout JSON that maintains content integrity for scientific reports.

The best way to validate relative coordinates for chart analysis is using local figure titles as anchor labels to enforce safety margins. This Skill refines VLM-generated boundaries and outputs a structured 2D layout JSON with validated coordinates for high-quality annotation and report generation.

Yes, you can use local figure titles as anchor labels to refine VLM bounding boxes. This Skill applies these anchors to enforce safety margins, preventing mislabeling and improper cropping in scientific charts while producing a structured 2D layout JSON with validated coordinates.

A structured 2D layout JSON is needed for visual quality assurance as it provides validated coordinates to prevent mislabeling. This Skill outputs exactly that by refining VLM-generated chart bounding boxes and enforcing safety margins using local figure titles as anchor labels.

Yes, vlm-visual-refiner supports converting relative coordinates to annotated images for validation. It refines VLM-generated chart bounding boxes, enforces safety margins, and outputs a structured 2D layout JSON with validated coordinates for visual quality assurance and report generation.