Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Robotics Data Toolkit | Convert between robotics dataset formats (RLDS, LeRobot v2/v3, Zarr, HDF5, Rosbag). Inspect, visualize, and analyze datasets. Works with HuggingFace Hub. Built for OpenVLA, Octo, LeRobot, and Diffusion Policy workflows.
A Framework for DDoS Attack Detection Using Hyperparameter Optimization, WGAN-GP–Based Data Augmentation, Feature Extraction via Genetic Algorithms, RFE, and PCA, with Individual and Ensemble Classifiers for Multi-Dataset Evaluation.
A comprehensive toolkit for converting image classification datasets into object detection datasets and training them using YOLOv8. This project streamlines the process of dataset preparation, augmentation, and training, making it easier to leverage YOLOv8 for custom object detection tasks.
This tool is designed to streamline the process of converting segmented label data to the YOLO (You Only Look Once) segmentation format.
A bilingual LeRobot dataset workbench for visualization, annotation, conversion and quality review.
Single YOLO11 detector recognising 20 traffic sign classes and 13 traffic light states, trained on a unified dataset merged from two independent public datasets.
A fast, validated YOLO‑to‑COCO dataset converter with auto‑discovery, strict Pydantic validation, and optional visualization for debugging annotations.
Comprehensive ML dataset transformation toolkit supporting 15+ formats (SQuAD, CoQA, MS MARCO, Natural Questions) with 3-script pipeline architecture, intelligent conversion algorithms, and batch processing capabilities for large-scale dataset workflows.
YOLO11 based object detection and tracking for autonomous driving, with an option to combine detections with lane perception.
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