Roboflow
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- We write your reusable computer vision tools. 💜
- Monitor the performance of OpenAI's GPT-4V model over time.
- streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
- A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
- The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
- 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.
- Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets
polygonzone
Publicvisual-prompting
Publichomepage-demo
Public templateBuild an in-browser model experience like the one on the Roboflow homepage.yolor
Publicimplementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)- 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.
- Roboflow SXSW Scavenger Hunt game.
- TensorFlow record (.tfrecord) API for Node.JS and Browsers
- Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.