# Notate ML — Click, Tag, Download > Machine learning image dataset preparation and annotation tool. (iPhone/iPad app by Rajaram Gurumurthi.) - Source: https://appshunter.io/ios/app/notate-ml/id1605408700 (this page in markdown: same URL + `.md`) - Developer: [Rajaram Gurumurthi](https://appshunter.io/developer/1603687897) - Category: Developer Tools, Photo & Video - Price: Free - Rating: 4.00/5 from 4 App Store ratings · 1 written reviews indexed - Age rating: 4+ - Requires: iOS 15.0 · 7 MB - Languages: English - Released: 2022-01-23 - Data updated: 2026-07-03 - Monetization: free - User reviews in markdown: https://appshunter.io/ios/app/notate-ml/id1605408700/reviews.md ## What is Notate ML? Preparing input image datasets is a critical and challenging task in any Machine Learning project.  Notate ML brings the power and usability of Apple's mobile devices to accelerate this task and deliver higher quality training data to your object detection model. FEATURES ・Create a dataset, type, scan, or speak your labels into it ・Snap new pictures, or import old ones from your photo library ・Crop images, draw bounding boxes, tag and label objects of interest ・Export images and annotations for training with YOLO, Apple Create ML, or Google Auto ML CREATING A DATASET ・Create a new data set and give it a unique name ・Add labels in one of several ways: ・One at a time, using the keyboard ・Copy and paste a comma-separated list from another document ・Scan from a physical text source ・Use the device voice feature to speak them in ・Labels can be edited or deleted by swiping left on each row ・Only unused labels can be deleted IMPORTING IMAGES ・Tap into the dataset and import photos (up to 50 at a time) from your Photo Library ・This app can only access photos that you select using Apple's photo picker feature CAPTURING IMAGES FROM THE CAMERA ・While browsing the images in a dataset, tap the "Capture" button to snap new images with the camera ・The app will require your permission to access the camera ・If you choose to decline, you can always grant access at a later date using "Settings" ANNOTATING THE IMAGE ・Select an image from the dataset image browser to annotate it ZOOMING and CROPPING ・Pinch with two fingers to zoom in or out of the image ・Drag with two fingers to move (pan) the image about ・Optionally crop the image to the visible square dimensions ・Cropping can only be done when the image has no bounding boxes. ・Double tap on the image to reset zoom and recenter the image ・Tap the "Reset" button in the bottom panel to restore image and annotations to the original state before editing ・The cropped image dimensions and visible area dimensions in pixels are displayed above the image at all times TAGGING ・Drag with one finger or stylus to draw bounding boxes around objects of interest ・Long press on a box to select an existing annotation ・Use the picker to assign a label to the selected bounding box ・Or tap the red Delete button to remove the selected box ・Tap anywhere outside the selected box to unselect it ・Tap the "Reset" button to restore image and annotations to the original state before editing ・Tap the "Done" button to complete annotating the image EXPORTING THE DATASET ・While browsing dataset images, tap the "Export" button, to select export options ・Datasets can be exported in one of three "schemas" for use with different object detector training frameworks ・The YOLO schema generates a set of files organized for use with the YOLO framework ・The Create ML schema generates files to use as input to Apple's Create ML application ・The Auto ML schema generates files to use as input to Google's Auto ML service ・ After reviewing the export options, tap the "Export" button on the Export options screen to generate data files for training ・ Choose one of the sharing options (e.g. Airdrop, Files) enabled by your device to export the data files DELETING ・Delete an image by swiping left in the dataset image browser ・Delete an entire dataset by swiping left in the dataset browser ・If a dataset contains images, you will be prompted for confirmation Some tips ・Crop the images before tagging them ・Use a stylus for more accurate bounding boxes ・Maintain different datasets for training and validation ・Limit datasets to under 1000 images each, for ease of use ・Export and delete unused datasets to conserve storage ## Key features - Create and name datasets - Add labels via typing, copy-paste, scanning, or voice - Import images from photo library - Capture new images with camera - Crop images and draw bounding boxes - Tag and label objects - Export data for YOLO, Create ML, Auto ML ## Recent user reviews (1 of 1) All indexed reviews: https://appshunter.io/ios/app/notate-ml/id1605408700/reviews.md ### 3/5 — Stuck in tele camera. *2023-04-03* Add an option to switch camera ## Frequently asked questions about Notate ML ### What is Notate ML used for? Notate ML is designed to help users prepare image datasets for machine learning projects. It allows for easy labeling, image import, and annotation of objects within images. ### How can I add labels in Notate ML? You can add labels by typing them one at a time, pasting a comma-separated list, scanning from physical text, or using the device's voice feature to speak them. ### Can I import images from my photo library into Notate ML? Yes, you can import up to 50 images at a time from your photo library. The app uses Apple's photo picker feature to ensure you select which photos to share. ### What annotation tools does Notate ML offer? Notate ML allows you to zoom and pan images, crop them, draw bounding boxes around objects, and assign labels to these boxes. You can also reset annotations. ### What formats can I export my dataset in from Notate ML? You can export your datasets in schemas compatible with YOLO, Apple Create ML, and Google Auto ML, making it easy to integrate with various object detection training frameworks. ### Is Notate ML available on Android devices? Based on the provided information, Notate ML is designed for Apple devices, supporting iPhone, iPad, and iPod. It is not indicated to be available on Android. ### How often is Notate ML updated? The latest version of Notate ML is 1.03, and it was last updated on October 25, 2022. This suggests a release cycle of approximately one to two updates per year. ### Does Notate ML have ads? No, Notate ML is ad-free, allowing for an uninterrupted workflow when preparing your machine learning datasets. ## Version history (last 3 releases) ### 1.03 — 2022-10-25 Adds support for additional builtin camera types ### 1.01 — 2022-05-01 - YOLO export now can be used for YOLOv5 as well - Increased zoom limit for tighter bounding boxes around small objects - Fixes issue: Unable to switch Export schema on iPad due to page layout issue - Fixes issue: Un-cropped imported HEIF images, exported as HEIF with JPG extension ### 1.0 — 2022-01-24 No release notes. ## Apps similar to Notate ML | App | Rating | Price | Category | | --- | --- | --- | --- | | [ML Annotator](https://appshunter.io/ios/app/ml-annotator/id1594943438) | 3.7 (3) | Free | Developer Tools | | [QDesigner](https://appshunter.io/ios/app/qdesigner/id1500810470) | — | Free | Developer Tools | | [Flowchart Studio](https://appshunter.io/ios/app/flowchart-studio/id1450135406) | — | Free | Developer Tools | | [MockerPie](https://appshunter.io/ios/app/mockerpie/id6445908590) | — | Free | Developer Tools | | [ML Trainer: Make Training Data](https://appshunter.io/ios/app/ml-trainer-make-training-data/id1573622903) | 5.0 (2) | $0.99 | Developer Tools | | [Requesta – Make HTTP requests](https://appshunter.io/ios/app/requesta-make-http-requests/id6446642315) | 5.0 (1) | Free | Developer Tools | ## More apps by Rajaram Gurumurthi - [Dude, where's my ball?](https://appshunter.io/ios/app/dude-wheres-my-ball/id6443659724) All apps by Rajaram Gurumurthi: https://appshunter.io/developer/1603687897 --- *Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-07-03.*