Systematic quality evaluation suite for AI/ML datasets. 103 ego datasets audited. ISO 5259-2 aligned.

KALOS: Evaluate the quality of computer vision datasets

面向研究、竞赛与论文场景的可追溯数据采集与交付工具

Official repository for paper "Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet"

Industrial computer vision workflow for welding defect inspection using YOLO, OpenCV preprocessing, dataset QA, threshold governance, and edge-readiness analysis.

Evaluation QA harness for misinformation datasets: stress tests evidence quality, shortcuts, ambiguity, and ranking fragility.

GenProof detects model collapse risk in pre-training datasets before training begins. It combines semantic entropy, tail-density, and AI detection into a composite probability score (ICS). Built with FastAPI and scikit-learn to help ensure data quality and compliance.

(WIP): 'Aporia' in Greek means 'inconsistent'. A Python library that detects and fixes dataset issues using both rule-based methods and ML models. It evaluates dataset quality across multiple metrics, including missing values, duplicates, outliers, class imbalance, and label consistency. It also suggests fixes based on the metric scores.

How much labeled data do you actually need to deploy a parking occupancy system at a never-before-seen lot? A supervision study spanning CLIP zero-shot → ResNet-18 few-shot → full supervision on 432k parking space crops, with dataset annotation error discovery. Trained on NVIDIA A100 via IU Big Red 200.

The Dataset Quality Scoring Engine (DQS) evaluates the quality of any dataset using automated, model-agnostic metrics. The system processes user-uploaded datasets, computes embeddings, analyzes statistical and semantic properties, and outputs a standardized quality score

Practical lessons on prompt engineering for code-generation datasets used to train LLMs. Patterns and failure modes from real task audits.

CV Dataset Quality Inspector — React-based tool for detecting quality issues in computer vision annotation datasets. Auto-detects bbox errors, visualizes class imbalance, and exports quality reports — built for AV/CV ML pipelines.

Agentic data intelligence tool using LangChain & Pandas for automated dataset cleaning, governance, and quality analysis.

Lightweight toolkit for multimodal data curation and quality triage

LLM Code Trainer & Dataset Quality Reviewer at Revelo. Prompt engineering, multi-language code review (Python, TS/JS, C, C++). Remote, EN/PT.