# DeckVision

> Utilities

Canonical page: [https://chrome-stats.com/d/id6762495451](https://chrome-stats.com/d/id6762495451)

## Overview

- **ID:** `id6762495451`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Leslie Street Studio LLC
- **Category:** Utilities
- **Rating:** 5.00 / 5 (1 ratings)
- **Version:** 1.0.1
- **Last updated:** 2026-04-24
- **First published:** 2026-04-21
- **Size:** 35 MB
- **Data as of:** 2026-09-22
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/deckvision/id6762495451)
- **Website:** [https://lesliestreetstudio.com/apps/deckvision](https://lesliestreetstudio.com/apps/deckvision)
- **Privacy policy:** [https://lesliestreetstudio.com/apps/deckvision/privacy-policy.html](https://lesliestreetstudio.com/apps/deckvision/privacy-policy.html)

## Description

Build better card detection models with real-world data. DeckVision auto-captures and labels card layouts so you can focus on improving accuracy.

DeckVision turns your iPhone into a playing card training data collector. Point the camera at any arrangement of cards, and DeckVision automatically detects and labels each one in real time using on-device machine learning. When detections stabilize, the image is captured automatically -- no tapping required.

Every captured image goes into a review queue where you can inspect bounding boxes, correct misidentified cards, and delete false positives before they pollute your dataset. Edits are non-destructive, and you can return to any image at any time.

When your dataset is ready, export everything as a single zip file in Create ML object detection format. The archive includes all annotated images, an annotations.json file with bounding boxes and card labels, and a metadata.json file with detection confidence scores and correction history for full provenance tracking.

Key features
- Real-time card detection with automatic capture when the scene stabilizes
- Full annotation review and correction after each scan
- Browsable image library with thumbnail grid and detail editing
- Create ML-compatible export with annotations and metadata
- 100% on-device processing -- no data ever leaves your iPhone
- Camera permission managed transparently, revocable at any time

DeckVision is built for machine learning practitioners, researchers, and anyone working to improve playing card detection models with real-world, human-verified training data.

## Rankings

- #747,692 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6762495451)