Cam4DL vs ML Trainer

Cam4DL is an app for creating image and video datasets that are typically needed in deep learning projects. RECORD VIDEO CLIPS READY FOR ACTION CLASSIFICATION With Cam4DL you can now record small video clips that you can use for training an action classifier in CreateML. You can choose to record these video clips with the same frame rate and timing options available during CreateML training phase. You can record multiple video clips automatically and hands free. First select a category then tap on the shutter button to start the recording. When a video clip recording ends you have 3 seconds to get ready for the next clip recording. This automatically starts until you stop the recording by tapping again on the shutter button. The video clips are recorded without sound because this is hardly used for action classification. TAKE PHOTOS FOR OBJECT AND FACE ANALYSIS Using Cam4DL you can also take photos organized in categories and optionally generate depth maps and face metadata with ease at the moment of capture. Just create a project of type Face or Object, and choose if you want to include a depth map. Then choose if you want to optionally crop and resize the image at the moment of capture. You can then start taking photos that are automatically cropped, resized and organized in folders along with their metadata. The best part of Cam4DL is that all of the generated data is open and accessible from the Apple Files app, so that transferring this data to your workstation is easier and faster than ever. FACE DATA AND DEPTHMAP AUTOMATICALLY COMPUTED When you take a photo inside a project of type Face, the app automatically computes face features and save them in json files, so that you can later use them for your data science projects. When you select the depth map option during project creation, the app automatically computes the depth map while you take the photo and stores it in a png file. Cam4DL keeps the dataset pictures separate from Apple's Photos app. OPEN ACCESS TO ALL THE GENERATED DATA All the photos you take with Cam4DL and the relative metadata such as the face data are categorized and saved inside the app's document directory so that you can easily share them with your workstation for training. To access the data generated by Cam4DL, just open Apple's Files app and then navigate to "iPhone -> Cam4DL" folder. Made with Love and SwiftUI WARNING: All the datasets are stored inside the app's sandbox. For this reason if you delete the app you also delete the datasets, including all the videos, photos and the associated metadata. If you for any reason need to delete the app REMEMBER TO BACKUP your datasets to another location using the Files app.

Creating original training data for Image Classification machine learning models just got a little easier! ML Trainer allows developers to quickly capture and export thousands of images to the Photos app, allowing every image to be imported with iCloud or the built in Image Capture app on Mac. Press the Scan button to capture a preset amount of images as you move closer to or pivot around your subject, or Tap the Camera button to capture a single picture. Toggle the Flashlight to improve results in low light conditions, and tap the Save button to export any captured images to the Photos app. While each image is always captured at a speed of 3 Frames Per Second, you can adjust the Frame Count of each Scan in the Settings Menu. A larger Frame Count will save you time, while a lower Frame Count will help improve accuracy across different angles. Enabling Crosshairs and Guides in the Settings Menu can also help improve accuracy. This app was specifically designed to speed up the process of importing data into the Xcode Developer Tool named CreateML. Exported images should also be compatible with other platforms like TensorFlow and Azure Machine Learning. A wired connection to a macOS device with the Image Capture app open will always be the fastest way to import your data to desktop.