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Annotating Edge Cases: Cyclists, Pedestrians & Unusual Obstacles

  • July 7, 2025
As autonomous vehicles (AVs) become more prevalent, the need for highly accurate data annotation is more critical than ever. One of the biggest challenges AV developers face is training models to handle edge cases — unpredictable, rare, or complex scenarios such as cyclists weaving through traffic, jaywalking pedestrians, or...
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Facial Expression Annotation

Facial Expression Annotation for Emotion Detection AI

  • July 3, 2025
Have you ever smiled at your phone and seen it respond with a cheerful emoji or suggest a related sticker? That’s not a coincidence — it’s AI at work, recognizing your facial expression and responding accordingly. This is made possible through facial expression annotation, a key process in teaching...
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RLHF

Why High-Quality Labeled Data is Crucial for RLHF Fine-Tuning in AI Models

  • February 22, 2025
Reinforcement Learning from Human Feedback (RLHF) is revolutionizing AI by aligning models with human intent, improving safety, accuracy, and ethical decision-making. This technique plays a pivotal role in fine-tuning AI models, enabling them to adapt to complex real-world scenarios while minimizing biases. However, the quality of labeled data used...
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