Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
Cam4DL is an app for creating image and video datasets that are typically needed in deep learning projects.
$4.99
Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for Cam4DL: map the core Developer Tools workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Assumption to check: Expensive subscription
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Missing features
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Poor performance
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
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.
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Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.