19
OctTagging Product Categories with Multi-Class Annotations for AI
Product categorization is vital for AI models that drive e-commerce, inventory management, and product discovery. Learn how multi-class annotations improve machine learning accuracy, and why it matters for your AI projects. Discover the power of precise data labeling services offered by Learning Spiral AI.
17
OctUsing Annotation to Detect Fraud on E-commerce Platforms
E-commerce fraud evolves daily—from fake listings to account takeovers. This guide shows how annotation transforms raw platform data into training signals for robust, real-time fraud detection systems, with practical schemas, workflows, and quality controls you can apply now.
06
OctTracking Climate Impact on Fields Through Time-Series Imagery Annotation
Explore how time-series imagery annotation helps identify and predict climate effects on agricultural fields. Learn how Learning Spiral AI enables smarter, AI-driven environmental insights with high-quality data labeling for precision farming and climate research.
30
SepDifferentiating Crops from Weeds: Annotation Best Practices
In modern farming, crop and weed differentiation with AI has become essential. Accurate data annotation empowers AI systems to[…]
25
SepUsing Manual Annotation for Livestock Monitoring: A Foundational Step Toward Smarter Farming
In the era of smart agriculture, data-driven technologies are reshaping traditional farming practices. One of the most critical elements[…]
25
SepAnnotating Agricultural Diseases: Early Detection with AI
In the age of precision agriculture, early detection of crop diseases is becoming vital for food security, yield protection,[…]
