Supervision

Supervision is an open-source Python library that provides reusable tools for computer vision applications.

Supervision is an open-source Python library by Roboflow designed for building computer vision applications. It provides a unified Detections object with native integration for RF-DETR and converters for outputs from Roboflow Inference, Transformers, SAM, Detectron2, MMDetection, Ultralytics, YOLO-NAS, PaddleDet, NCNN, Azure AI Vision, and VLM parsers. Users can annotate images and videos, track objects with persistent IDs, count detections in zones, and convert datasets between YOLO, COCO, and Pascal VOC formats. The library runs in Python environments and is MIT licensed with extensive community usage. It helps developers handle common computer vision tasks efficiently without writing boilerplate code.

Supervision at a glance

Best for: Software engineer, Researcher
Runs on: open source
Pricing: Free
Released: November 2022
Category: AI image tool
Website: supervision.roboflow.com

Key features

Annotate images and video with bounding boxes, masks, and labels
Track objects across frames with persistent IDs
Count and filter detections inside polygon zones
Load and convert datasets between YOLO, COCO, and Pascal VOC formats
Benchmark model performance with mAP and confusion matrices

Use it for

Annotating predictions from object detection and segmentation models
Implementing object tracking in video analysis
Counting objects crossing a predefined line
Filtering and focusing on objects within a specific zone

Alternatives to Supervision

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Viso — Builds complete vision apps from simple prompts without model training or data labeling.
X-AnyLabeling — Integrates automatic model-assisted labeling with manual refinement tools.
Image or AI — It checks Content Credentials, metadata, and uses a pattern model for evidence.
Eagle — It provides data-centric strategies for advanced multimodal research.
Marigold — Extracts high-resolution depth maps and surface normals using adapted diffusion models.
Lance — It supports unified image and video understanding, generation, and editing at a 3B scale.
Ooosplat — Runs entirely on local hardware without uploading files to cloud services.
Fruit Inspector Demo — Grades fruit inside a fixed control zone on a conveyor belt.
SpawnDev.ILGPU.ML — Runs in-browser neural network inference using 6 backends without servers

All Supervision alternatives