Semantic Segmentation Tools

STDC-Seg

A real-time semantic segmentation approach for efficient scene understanding.

ICNet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images.

MobileNetV3

Efficient and lightweight CNN architecture for mobile and edge devices.

TorchVision Transforms

Machine Learning

A comprehensive set of computer vision transformations for data augmentation and manipulation in PyTorch.

TorchVision Datasets

A module providing access to various pre-built datasets for image classification, detection, segmentation, and more, designed for use with PyTorch.

BiSeNet

Real-time semantic segmentation for efficient scene understanding.

ConvNeXt

A pure ConvNet model constructed entirely from standard ConvNet modules, designed for the 2020s.

Landing AI

Computer Vision

Accelerating Industrial Computer Vision through Domain-Specific Large Vision Models and Data-Centric AI.

Encord

Development

The AI-native data platform for data-centric computer vision development.

Playment

Data Labeling & Annotation

Enterprise-grade data labeling platform for high-performance computer vision and sensor fusion.

Places365

Computer Vision

The industry-standard deep learning dataset and model suite for state-of-the-art scene recognition.

Albumentations

Development

The performance-first computer vision augmentation library for high-accuracy deep learning pipelines.

PaddleHub HumanSeg

Computer Vision

Industrial-grade human body segmentation for real-time background removal and portrait matting.

Mythic AI

AI Hardware

Revolutionizing edge intelligence through Analog Compute-in-Memory technology for extreme power efficiency.