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- We write your reusable computer vision tools. 💜
- A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
- streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
- The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
sports
Public- Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.
GroundingDINO
Public- Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
cookbooks
PublicTemplates for computer vision projects, referenced in Roboflow blog posts.- Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
webcamGPT
Publicnanoowl
Publicclip_video_app
Publicstreamlit-bccd
Publicroboflow-api-snippets
Publicrepo for versioning snippets that show how to use Roboflow APIscog-vlm-client
Publicinference-client
PublicSoM
Publicyolov5
Publicroboflow_cloud_upload
Publicroboflow-collect
PublicPassively collect images for computer vision datasets on the edge.cvevals
PublicEvaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)trt-demos
Publicmagic-scissors
PublicSynthetic data for object detection and segmentation- Minimal PyTorch implementation of YOLOv4
EfficientDet
PublicEfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow