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Datasets, Transforms and Models specific to Computer Vision
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
A MNIST-like fashion product database. Benchmark :point_down:
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
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.
The PASS dataset: pretrained models and how to get the data
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark