Automi or FieldDay? A Comprehensive Review

Transparency emphasis

Access to training datasets

Provides biases and limitations

Data analysis tools

Anomaly detection tools

Trend forecasting tools

Easy adaptability to data

Designed by expert team

Community-driven development

Supports user contribution

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

Lacks pre-made templates

No version control

Limited model customization

No multi-user collaboration

Reliance on users' own data

No clear support channels

Insufficient documentation

No SDKs for development

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