TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoTrain, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
$ npx skills add open-edge-platform/training_extensions:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
$ npx skills add jsbroks/coco-annotatorThe official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
$ npx skills add megvii-research/mdistillerScenic: A Jax Library for Computer Vision Research and Beyond
$ npx skills add google-research/scenicA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyA modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labAn open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-vision记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
$ npx skills add harleyszhang/cv_noteAll-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
$ npx skills add lightly-ai/lightly-trainMulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
$ npx skills add nachifur/MulimgViewerObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
$ npx skills add google-research-datasets/ObjectronA Unified Semi-Supervised Learning Codebase (NeurIPS'22)
$ npx skills add microsoft/Semi-supervised-learningCorruption and Perturbation Robustness (ICLR 2019)
$ npx skills add hendrycks/robustnessPruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
$ npx skills add PrunaAI/prunaCVNets: A library for training computer vision networks
$ npx skills add apple/ml-cvnetsHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Datumaro if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.