| Concepteur: | Dito Technologies LLC (22) | ||
| Prix: | Gratuit | ||
| Classements: | 0 | ||
| Avis: | 0 Rédiger un avis | ||
| Listes: | 0 + 0 | ||
| Points: | 0 + 4 (3.0) ¡ | ||
| Mac App Store | |||
Description
- Invite others to your organization so you can annotate the images as a team
- Full Apple Pencil support to make annotating super fast if you have an iPad
- Download training data in various formats so that you can plug them into your machine learning workflow
- Download a custom generate iPython Notebook to provide you with a starting point of how to create a model from your training data
- Get suggestions from the app about things that might improve your trainging data
Captures d'écran
Prix
- Aujourd’hui: Gratuit
- Minimum: Gratuit
- Maximum: Gratuit
Suivre l'évolution des prix
Concepteur
- Dito Technologies LLC
- Plateformes: iOS Applications (13) iOS Jeux (3) macOS Applications (6)
- Listes: 1 + 0
- Points: 5 + 1,919 ¡
- Classements: 0
- Avis: 0
- Remises: 0
- Vidéos: 0
- RSS: S'abonner
Points
0 ☹️
Classements
0 ☹️
Listes
0 ☹️
Avis
Soyez le premier à donner votre avis 🌟
Informations supplémentaires
- Version: 1.4.2
- Catégorie:
macOS Applications›Développeurs - Systèmes d'exploitation:
iPad,iPhone,macOS,macOS 15.0 ou version ultérieure - Taille:
8 Mb - Langues prises en charge:
English - Classification du contenu:
4+ - Mac App Store Note:
3.0(4) - Mis à jour:
- Date de sortie:
Contacts
- Site Web:
https://swingperfect.anthonydito.com
ML Annotator URL courte: Copié!- 🌟 Partager
- Mac App Store
Découvrez également
-
- ML Highlight
- macOS Applications: Développeurs De: Pawel Ambrozej
- * Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 2.0 ML Highlight is a developer tool that helps you create annotation data for training Object Detection models with CoreML, YOLO (Ultralytics), or YOLO (Darknet). Object Detection has ... ⥯
-
- Object Annotator
- macOS Applications: Développeurs De: Stebin Alex
- Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.0 This Object Annotator can be used for annotating objects in images, which is necessary for training object recognition model in CreateML Platform. To create the annotation json file, ... ⥯
-
- Prepare ML
- macOS Applications: Développeurs De: Ilia Ambrazhevich
- Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.01 Prepare ML will help you to prepare training data for Xcode's Create ML Object Detection models. ⥯
-
- Xcode
- macOS Applications: Développeurs De: Apple
- Gratuit
- Listes: 22 + 8 Classements: 5 (1) Avis: 0
- Points: 11 + 0 Version: 26.2 Xcode offers the tools you need to develop, test, and distribute apps for Apple platforms, including predictive code completion, generative intelligence powered by the best coding ... ⥯
-
- SortingMatters
- macOS Applications: Développeurs De: Roger Oba
- $1.99
- Listes: 0 + 2 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.0.1 As the author of SortingMatters, I'm a little biased to describe it. I've honestly been using this tool for over 5 years and whenever I factory reset my mac I can't survive a single ... ⥯
-
- SnippetsLab
- macOS Applications: Développeurs De: Renfei Song
- Gratuit
- Listes: 6 + 8 Classements: 5 (1) Avis: 0
- Points: 13 + 0 Version: 2.6.2 Mac App Store Best of 2015 Featured in App Store editorial All Your Code, Brilliantly Organized , Keep Your Code at Your Fingertips and Welcome to the Mac App Store! Featured app in ... ⥯
-
- RectLabel
- macOS Applications: Développeurs De: Ryo Kawamura
- * Gratuit
- Listes: 3 + 1 Classements: 0 Avis: 0
- Points: 4 + 0 Version: 2025.12.17 RectLabel is an offline image annotation tool for object detection and segmentation. Key features: Label polygons and pixels using Segment Anything Model 2 Label polygons and pixels ... ⥯
- -77%
- SimpleML
- macOS Applications: Développeurs De: Alireza Eghdamian
- ▼ $2.99
$12.99-77% - Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.0 EasyML streamlines the most tedious part of machine learning: preparing your training data. Built exclusively for macOS and optimized for Apple Silicon, it's the missing link between ... ⥯
-
- Xliff Tool For Xcode
- macOS Applications: Développeurs De: 鑫 肇
- * Gratuit
- Listes: 1 + 1 Classements: 0 Avis: 0
- Points: 3 + 0 Version: 4.0.0 Xliff Tool For Xcode (Xliff Tool) Is A Translation Tool Made For Developers. It supports editing files of type `xliff` and `xcloc`. Xliff Tool uses AI for translation. You can use ... ⥯
-
- DataScout for SwiftData
- macOS Applications: Développeurs De: Oleksii Oliinyk
- * Gratuit
- Listes: 1 + 1 Classements: 0 Avis: 0
- Points: 2 + 0 Version: 1.7.1 Visualize and debug your SwiftData & CoreData stores in real time with DataScout s live updates, #Predicate filtering, ultra smooth scrolling, and scheme overview. Gain clear ... ⥯
- Nouvel
- X-MLAnnotation
- macOS Applications: Développeurs De: Denis Blumenstein
- Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.0 X-MLAnnotation is a powerful macOS application for image annotation in machine learning and computer vision workflows. It provides a clean, efficient environment to create and manage ... ⥯
-
- Ex Machina: Make Training Data
- macOS Applications: Développeurs De: 金珂 杜
- * Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 1.2.6 When using Create ML to create an Object Detection model, a large amount of training data is required, and there are strict requirements for the data format, so data preparation can be ⥯
-
- Biaoji
- macOS Applications: Développeurs De: Yee Pin New
- Gratuit
- Listes: 0 + 0 Classements: 0 Avis: 0
- Points: 0 + 0 Version: 2.0.0 Vision and Language Annotation Tool - Streamline Your ML Dataset Labeling Efficiently build high-quality machine learning datasets with our advanced Annotation Tool. Designed for data ... ⥯
-
- Action Labeler
- macOS Applications: Développeurs De: Manuel Lampert
- $0.99
- Listes: 1 + 0 Classements: 0 Avis: 0
- Points: 1 + 0 Version: 1.2 With Action Labeler you can create an annotation file for further use in Create ML. Simply open the folder containing your videos and define each action with label, start and end time. ⥯