Encord Monthly Wrap: January Industry Newsletter

In this January 2024 edition of Encord's Monthly Wrap, you can expect to find interesting computer vision papers, hands-on tutorials, developer resources, and use cases for manufacturing and robotics. Two top picks for computer vision papers are Segment Anything in Medical Images (MedSAM) and CLIP in Medical Imaging: A Comprehensive Survey, which explore novel adaptations and applications of the Segment Anything Model and Contrastive Language-Image Pre-Training (CLIP) respectively. You can also check out hands-on tutorials on using the Depth Anything Model, detecting data quality issues with Torchvision Dataset, and real-time text detection with OpenCV and Tesseract. Additionally, developer resources include pre-labeling data at speed, best image annotation tools, generating synthetic data for Deep Object Pose Estimation Training, and a comprehensive guide to instance segmentation in computer vision. The Power Tip of the Month highlights how to identify potential data gaps within Encord Active using metric distribution analytics.

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