Spaces:
Running
Running
| title: AnnotateIt | |
| emoji: 🏷️ | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: static | |
| pinned: false | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/6a7a07fa189047f8201288c2/S6NuiJwPCl0sGNs2dzAJ6.png | |
| # AnnotateIt | |
| **Private, on-device computer vision annotation for images and video.** | |
| AnnotateIt is a local-first application for building computer vision datasets. Create projects, annotate images and video, review model-assisted proposals, check dataset quality, manage versions and splits, and export to standard formats. | |
| Your media, labels and annotations stay on your device. Model files may be downloaded from the Hugging Face Hub, but inference runs locally on your hardware. | |
| [Open the web app](https://app.annotateit.ai) · [Website](https://annotateit.ai) · [Documentation](https://annotateit.ai/docs/) · [GitHub](https://github.com/AnnotateIt-AI) | |
| <p align="center"> | |
| <a href="https://app.annotateit.ai"> | |
| <img | |
| src="https://huggingface.co/spaces/AnnotateIt/README/resolve/main/image-1786699820634.webp" | |
| alt="AnnotateIt interface showing AI-assisted computer vision annotation running locally" | |
| width="100%" | |
| > | |
| </a> | |
| </p> | |
| <p align="center"> | |
| <em>AI-assisted computer vision annotation — running locally on your device.</em> | |
| </p> | |
| ## Model artifacts | |
| This organization is the official distribution point for model artifacts supported by AnnotateIt. | |
| Every published model repository is expected to include: | |
| - the upstream source, license and attribution; | |
| - an exact preprocessing and class-mapping specification; | |
| - a documented ONNX input/output contract; | |
| - versioned files with SHA-256 checksums; | |
| - PyTorch-to-ONNX Runtime validation results; | |
| - known limitations and supported runtimes. | |
| ## Available models | |
| - [EdgeCrafter ECDet-S — FP32 ONNX](https://huggingface.co/AnnotateIt/edgecrafter-ecdet-s-onnx) | |
| - [EdgeCrafter ECDet-M — FP32 ONNX](https://huggingface.co/AnnotateIt/edgecrafter-ecdet-m-onnx) | |
| Both models are downloaded from immutable revisions, verified with SHA-256, and run locally in AnnotateIt. | |
| ## Supported annotation workflows | |
| - Object detection | |
| - Instance segmentation | |
| - Keypoint detection | |
| - Image classification | |
| - Semantic search and batch pre-labelling | |
| - Dataset QA, versions, splits and standard-format export | |
| AnnotateIt does not train models. It helps you build and validate datasets locally, then export them for training in the stack of your choice. |