gears
Datasets
All datasets matching “gears”gearz-leakfinder
🔎 GEARZ LeakFinder
Redaction-first OSINT hunting tool — scan code repos, package registries, Docker images, CI/CD logs, and archived web captures for accidentally leaked secrets.Built for bug bounty pros, red teamers, and learners who want to see how real leaks are uncovered (safely, with redaction).
✨ Features
Adapters: GitHub • Wayback Machine • DockerHub • npm • PyPI • CI/CD logs
Scope Builder UI: point-and-click to define your targets → auto-saves to… See the full description on the dataset page: https://huggingface.co/datasets/Gearsoldier0731/gearz-leakfinder.racing-gears
Racing Gear Digits
Image classification dataset for detecting gear numbers (0-9) from racing onboard camera telemetry overlays, supplemented with MNIST digits for robustness.
Similar in spirit to MNIST but for a specific real-world application: reading the gear indicator from racing car onboard video feeds in real-time.
Dataset
5,964 training / 1,003 validation images
32×32 grayscale PNG images
10 classes (digits 0-9)
Source column distinguishes racing-original… See the full description on the dataset page: https://huggingface.co/datasets/tobil/racing-gears.gears-norman-activationsdxf-gears-unstructured
Gear Design Dataset
Dataset Overview
The Gear Design Dataset contains structured data that includes gear design specifications and their corresponding DXF (Drawing Exchange Format) files. The dataset is intended for training and evaluating machine learning models focused on generative design and CAD (Computer-Aided Design) tasks. The dataset is split into three parts: training, validation, and test sets.
Each entry in the dataset represents a specific gear type and… See the full description on the dataset page: https://huggingface.co/datasets/mvrdock/dxf-gears-unstructured.pick_load_gearsonic_v21dxf-gears-prompted
Gear Design Dataset
Dataset Overview
The Gear Design Dataset contains structured data that includes gear design specifications and their corresponding DXF (Drawing Exchange Format) files. The dataset is intended for training and evaluating machine learning models focused on generative design and CAD (Computer-Aided Design) tasks. The dataset is split into three parts: training, validation, and test sets.
Each entry in the dataset represents a specific gear type and… See the full description on the dataset page: https://huggingface.co/datasets/mvrdock/dxf-gears-prompted.