Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
An open source library and framework for deep learning on satellite and aerial imagery.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Deep and Machine Learning for Microscopy
Panoptic segmentation algorithms for 2D and 3D electron microscopy images