Passio or FieldDay? A Comprehensive Review

Customizable SDKs

Compatible with iOS and Android

Integrated mobile data collection

Tailored vertical-specific vision modules

User-defined data taxonomy

Supports data annotation

Complete end-to-end development

Module for Mindseye

Accommodates brand-specific user interfaces

Easy deployment on mobile

Creates custom vision apps

Uses camera for productivity

Mobile machine learning toolkit

Teaches apps to 'see'

Real-time accuracy visualization

Identifies multiple objects

Label and manage models

Push model iterations

Available for iOS

Comprehensive usage guide

Limited to mobile platforms

Specific industry focused modules

Might need specific technical knowledge

No clear pricing information

Dependent on user-collected data

Lack of tool integration

Limited customization options

App-dependent performance evaluation

SDK testing required

Only available on iOS

Potential for privacy concerns

Data collection reliant on users

Limited algorithm refinement control

Requires able smartphone camera

Manual data labelling needed

Real-time accuracy might vary

Single tap might miss-label

No mention of API Integration