---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "AI Capture: Create ML Datasets"
developer_entity: "Isakzaid Diaz"
bundle_id: "com.sulwyn.aicapture"
app_store_id: "6444910890"
category: "Developer Tools"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-07-07"
report_date: "2026-10-22"
last_verified: "2026-10-22T00:00:00.000Z"
report_version: "1.7"
total_reviews: 2
overall_rating: 5
sentiment: "Thrilled"
sentiment_score: 90
confidence: "low"
confidence_score: 0.3
top_praise_theme: "The application saves significant time for users by providing a highly efficient workflow for daily tasks"
review_sample_size: 1
total_review_count: 1
analyzed_review_count: 1
data_age_days: 23
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["developer tools", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "machine", "learning", "practitioners"]
canonical_url: "https://marlvel.ai/apps/ai-capture-create-ml-datasets"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# AI Capture: Create ML Datasets Intelligence Report

## TL;DR {#tldr}

- **Category**: Developer Tools · Free
- **Signal**: Rating 5 · Sentiment Thrilled
- **Recent focus**: The application saves significant time for users by providing a highly efficient workflow for daily tasks (top praise)

> **TL;DR:** AI Capture: Create ML Datasets is a developer tools app by Isakzaid Diaz, rated 5/5 by 2 users, with Thrilled user sentiment (90/100), available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** AI Capture: Create ML Datasets maintains Thrilled user sentiment (5/5 from 2 reviews), with users consistently praising the application saves significant time for users by providing a highly efficient workflow for daily tasks.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 5/5 (2 reviews) |
| **User Mood** | Thrilled |
| **Category** | Developer Tools |
| **Developer** | Isakzaid Diaz |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 23d |

## Metadata & Market Performance
- **Publisher:** Isakzaid Diaz
- **Category:** Developer Tools
- **Target Audience:** Machine learning practitioners and developers building computer vision projects who need mobile-based data collection.
- **Platforms:** iOS
- **Version Reviewed:** 1.7
- **Report Date:** 2026-10-22
- **Signal Count:** 1 review analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 6444910890
- **Bundle ID:** com.sulwyn.aicapture
- **Data Window:** Analysis based on signals collected up to 2026-10-22

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** AI Capture: Create ML Datasets is a mobile tool for collecting, labeling, and exporting image datasets for computer vision projects.
**Why users hire it:** The app removes the friction of manual data formatting by providing an integrated workflow that exports directly into training-ready formats.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Photo Annotation:** Built-in tools for labeling and classifying images directly within the app interface.
- **[Differentiator] ML Dataset Export:** Exports collected data in formats optimized for training YOLO models.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Regression and Classification Tools:** Integrated utilities for assigning specific data types to captured images.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Users report: AI Capture: Create ML Datasets occupies a niche in the Developer Tools category, currently maintaining a 5.0-star rating despite a 471-day release gap. The lack of recent updates suggests a static position that relies on its existing utility rather than active market expansion.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free
- **Analysis:** The app is currently distributed as a free tool without visible in-app purchase or subscription gates.

<!-- section:sentiment -->
## 🟢 User Sentiment (Low Confidence: 1 of 1 review analyzed) {#user-sentiment}
- **Overall Rating:** 5/5
- **Platform Split:** iOS 5.0/5 (2 ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **The application saves significant time for users by providing a highly efficient workflow for daily tasks**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- YOLO-ready export pipeline reduces manual formatting

**Growth Levers:**
- On-device automated labeling could accelerate annotation workflows


<!-- /section:swot -->
<!-- section:whats-new -->
## What's New

- **Latest (v1.7, 1 years ago):** Updated the datasets view and streamlined instructional guidance.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- No major releases in 15 months.
- Maintains 5.0-star rating on minimal volume.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 471 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

AI Capture: Create ML Datasets is a developer tools app that is completely free.
It holds a 5/5 rating from 2 reviews.

<!-- speakable-start -->
> **Bottom Line:** Users report: AI Capture: Create ML Datasets provides a functional, time-saving workflow for mobile data collection, but the 15-month development hiatus limits its long-term viability. Validating user demand for mobile-first annotation would clarify whether to invest in a feature refresh or sunset the project.
<!-- speakable-end -->

**Best for:** Machine learning practitioners and developers building computer vision projects who need mobile-based data collection.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [MAINTAIN] Audit current user feedback to identify high-impact feature requests because the app has been dormant for 15 months → inform potential pivot
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Mixed

Users report: The mobile computer vision market is shifting toward automated, on-device labeling, which places AI Capture: Create ML Datasets in a vulnerable position given its lack of recent updates. Without a renewed feature cadence, the app will likely lose relevance to more active, cloud-integrated alternatives.

- 🔴 The 471-day release gap suggests the product is in maintenance mode, which risks obsolescence as computer vision standards evolve.
- 🟢 The 5.0-star rating confirms that the existing YOLO-ready export pipeline provides high value to the current user base.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 5/5 |
| Total Reviews | 2 |
| Sentiment | Thrilled (90/100) |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **AI Capture: Create ML Datasets** (this app) | 5/5 | Thrilled | Isakzaid Diaz |
| [iProxy - Sys admin tools](https://marlvel.ai/apps/run-n-lab-iproxy) | 4.2/5 | Mixed | N-Lab |
| [avoGate](https://marlvel.ai/apps/net-avogate) | 4.4/5 | n/a | Avocado VPN Technologies |
| [Nexalis Flash](https://marlvel.ai/apps/nexalis-flash) | N/A/5 | N/A | Nexalis LLC |
| [BaseView](https://marlvel.ai/apps/baseview) | N/A/5 | N/A | Ryan Clare |
| [Docket - Dev Release Tracker](https://marlvel.ai/apps/docket-dev-release-tracker) | N/A/5 | N/A | Drobinin Limited |

## Company Profile
- **Developer:** Isakzaid Diaz

## Data Sources & Links
- **App Store ID:** 6444910890
- **Sources:** App store metadata, User reviews.

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## Frequently Asked Questions {#faq}

### Is AI Capture: Create ML Datasets suitable for professional machine learning projects?

The app is designed for practitioners needing mobile-based data collection and annotation. It exports data in formats compatible with YOLO models, making it a useful utility for specific computer vision workflows.

### Does AI Capture: Create ML Datasets require a subscription?

No, AI Capture: Create ML Datasets is currently distributed as a free tool without any visible in-app purchases or subscription gates.

### What are the alternatives to AI Capture: Create ML Datasets for image labeling?

Users should consider desktop-based labeling suites or cloud-integrated platforms, which often provide more frequent updates and advanced automation features compared to this mobile-only tool.

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 1
- **Data Sources:** user reviews, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 23 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/ai-capture-create-ml-datasets)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.