From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the artificial intelligence and machine learning data-enrichment marketplace.
Jun 17, 2026
iMerit placed 1st at CVPR 2026 Auto3D Challenge, outperforming 11 teams with a no-3D-label pipeline using SAM 3, CLIP, and LoRA adaptation.
Jul 13, 2026
Compare top data annotation partners for scientific AI and autonomous labs, including expert feedback and model evaluation.
Jul 9, 2026
Learn why autonomous labs need expert feedback loops, structured data, and process supervision for reliable scientific AI.
Jul 7, 2026
From multi-tool annotation workflows to one-click propagation across merged sequences; here's everything new in Ango Hub's segmentation release.
Jul 3, 2026
Learn how Robotaxi perception model retraining uses failure data, annotation, and shadow mode testing to improve autonomous driving systems.
Jul 2, 2026
iMerit's team returns from Denver with a clear signal: the field is changing faster than the headlines suggest.
Jun 29, 2026
Object detection isn't enough for dexterous robots. See how object-level labels in manipulation datasets enable grasping and embodied AI.
Jun 19, 2026
Discover how dexterous robots learn manipulation skills from human demonstrations using motion retargeting and imitation learning.
Jun 17, 2026
iMerit placed 1st at CVPR 2026 Auto3D Challenge, outperforming 11 teams with a no-3D-label pipeline using SAM 3, CLIP, and LoRA adaptation.
Jun 12, 2026
Explore 10 leading egocentric video datasets powering embodied AI, robotics, human-object interaction, and computer vision research.
Jun 4, 2026
Learn how multi-stage crop annotation powers precision spraying, tracking crop health, growth changes, and reducing chemical use via computer vision.
Jun 4, 2026
Discover what dexterous manipulation is in robotics and how high-quality training data is the critical missing layer for capable robot hands.
Jun 1, 2026
How teleoperations and remote supervision keep robots safe and compliant in the real world, while building the intervention data perception teams rely on.