UAVoo Dataset Editor

UAVoo Dataset Editor is an end‑to‑end workflow for building production‑ready computer‑vision datasets faster. It automates the repetitive steps of dataset preparation, keeps a human‑in‑the‑loop where it matters, and helps reduce annotation noise—so your detection and tracking models train faster and generalize better in real environments.

● Fast dataset creation: Import photos/videos, convert video into consistent training frames, and optionally расширюйте покриття даними з відкритих джерел через API.
● Quality control: Remove exact duplicates and near‑duplicates, track dataset health metrics, and quickly filter incorrect samples/annotations during review.
● Annotation & auto‑labeling: Manual labeling (bbox/segmentation) combined with model‑assisted auto‑labeling for rapid review and correction.
● Dataset balancing: Manage negatives, control object‑size distribution, and create clean Train/Validation splits to improve generalization.
● Synthetic data: Generate backgrounds for different conditions (weather, seasons, lighting) and build synthetic datasets by compositing your objects onto real or synthetic scenes with consistent labels.
● Training & performance: GPU‑accelerated workflows; supports training on high‑end hardware (e.g., NVIDIA L4, A100, H100) for large‑scale datasets.
● Privacy: Local‑first processing; optional cloud training with secure storage and automatic cleanup after training—no need to share datasets with third parties.