AI Dataset2025
Pan-cancer CT segmentation dataset for training and benchmarking medical-image segmentation models — packaged as a Hugging Face dataset with an estimated 10k–100k samples and linked arXiv references. Designed for model development and reproducible benchmarking; non-commercial license applies.
AI Dataset2026
Provides ~50M multimodal annotations organized for unified training across structured visual understanding, segmentation, dense geometric prediction, and multi-view reconstruction — released as task-specific JSONL files that reference original image assets rather than redistributing raw images.
Recovers editable design files from raster images by growing an editable layer hierarchy via an agentic pipeline that selects and composes modality-specific tools. Introduces graceful verification (accept/prune/retry) to prevent error accumulation and presents the Figma Edit Replay Benchmark (909 files, 14,796 edits) to measure editability across layout, color, and text edits.