An open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-visionAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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Real-time and accurate open-vocabulary end-to-end object detection
An open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-vision[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
$ npx skills add noahcao/OC_SORT[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
$ npx skills add fundamentalvision/BEVFormerDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
$ npx skills add open-edge-platform/datumaro[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
$ npx skills add IDEA-Research/DINOA repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
$ npx skills add PINTO0309/PINTO_model_zooOpen-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
$ npx skills add open-compass/VLMEvalKitTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeo:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
$ npx skills add dog-qiuqiu/FastestDet🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
$ npx skills add laugh12321/TensorRT-YOLOScenic: 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/lightlyEffortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
$ npx skills add vietanhdev/anylabelingSuperfast AI decision making and intelligent processing of multi-modal data.
$ npx skills add aurelio-labs/semantic-routerAI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
$ npx skills add wiltodelta/remove-ai-watermarksA modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labHow 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 OmDet 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.