iPomodoro vs ML Data Factory

Distracted? procrastination? Efficient? Focus? iPomodoro (love tomato). The Pomodoro Technique is a time management method, founded by Francesco Cirillo in the 1980s. This method uses a timer to divide a work time of generally 25 minutes and a rest time of 5 minutes. Those time periods are called pomodori, which is the plural of the Italian word pomodoro. 【Function Introduction】 Pomodoro management and study planning, mom no longer has to worry about my study! No more distractions! No more delay! Efficient! Focus! , So that everyone can be more focused when studying, and learn quickly and easily get! [Three Features] 1. Pomodoro learning mode, using the Pomodoro Technique for learning, allowing you to combine work and rest! 2. Timed learning mode, learn according to the set time, learn as long as you want! 3. Timed task mode, countdown days, task records, daily learning tasks! Put an end to learning without goals! Satisfy your thirst for learning! Tomato learning Study using the Pomodoro Technique Timed learning Learn according to the set time Please do not Abandon treatment! study well You are still saved! Note: -Promise that there will never be advertising pop-ups in the app, to ensure that you are focused and have an excellent experience in the learning process! -If you have any questions or suggestions during use, please comment and feedback! Thanks for the support! Thank you! 【Note】 This project is now open source, welcome Star, Fork, and interested developers to improve it together: https://github.com/iHTCboy/iPomodoro-Flutter

ML Data Factory is a professional-grade mobile utility engineered to bridge the gap between raw video footage and the high-quality datasets required for machine learning. Designed for data engineers, sports analysts, and AI researchers, this app allows you to curate, manufacture, and package machine learning datasets entirely from your iPhone or iPad. Stop wasting time with bulky desktop software. Whether you are in the field or at your desk, ML Data Factory provides a streamlined, high-throughput pipeline to transform raw video into structured, AI-ready training data. Key Features: Precision Data Pipeline: Seamlessly ingest raw video from iCloud, the local Files app, or your Photo Library. Support for bulk-uploading allows you to queue multiple videos for efficient, uninterrupted processing. Direct-Link Ingestion: Paste direct video URLs to stream and download high-quality footage directly into your processing queue. Frame-Accurate Scrubbing: Utilize high-precision seeking controls to pinpoint the exact millisecond of an action. Whether you are analyzing a sports swing or a manufacturing process, you have full control with frame-by-frame navigation. ML-Ready Visual Guides: Built-in 224x224 crop guides ensure your visual subjects are perfectly framed for popular machine learning models (e.g., ResNet, MobileNet), ensuring data consistency before you ever snap a frame. Dynamic Dataset Labeling: Create, manage, and toggle custom categories on the fly. Organize your dataset into structured folders that match your specific training labels. Customizable Capture Length: Adjust your capture window dynamically—choose between 30, 60, 90, 120, or 150 frames to match the specific needs of your ML model's temporal requirements. One-Tap Manifest Export: With a single tap, the app compiles your categorized clips into a structured dataset_manifest.json and bundles everything into a single .zip archive. Easily AirDrop or transfer your entire, ready-to-train dataset to your workstation for immediate use in Create ML, PyTorch, or TensorFlow. Technical Specifications: High-Speed I/O: Built on the AVFoundation framework for efficient, asynchronous video processing and extraction. Optimized Performance: Fully compliant with modern iOS 18+ standards for maximum stability and performance on the latest hardware. Data Integrity: All dataset operations are performed using atomic write protocols to ensure no data is corrupted or lost during the extraction and zipping process. User-Centric Design: High-contrast, dark-themed industrial interface designed for high-focus professional environments.