ryanjball

Ryan Ball's starred repositories

supervision

We write your reusable computer vision tools. 💜

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Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

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sports

computer vision and sports

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awesome-openai-vision-api-experiments

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

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maestro

streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

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inference

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

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roboflow-python

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

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dji-aerial-georeferencing

Detect objects in drone videos and plot them on a map

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autodistill-grounded-sam

GroundedSAM Base Model plugin for Autodistill

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roboflow-computer-vision-utilities

Interface with the Roboflow API and Python package for running inference (receiving predictions) and customizing result images from your Roboflow Train computer vision models.

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cvevals

Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)

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