Showing 7 of 7 projects
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet.
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A fully convolutional neural network for real-time instance segmentation, achieving high speed and accuracy on COCO.
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
A simple and versatile framework for object detection and instance recognition with extensive model coverage and distributed training.
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