Run detection, segmentation, pose estimation, and more — on images, video, or live streams. No GPU setup, no infrastructure. Just results.
No GPUs, no Docker, no env config. Just upload and run. Built for researchers who want results, not infrastructure.
Turn existing security cameras into smart analytics. No new hardware, no monthly contracts — just AI.
AI-powered diagnostic imaging for researchers. MRI segmentation, 3D reconstruction, and volumetric analysis — all from your browser.

Identify structural anomalies, track lesion progressions, and segment multi-class brain tissues in seconds.

Transform standard 2D DICOM slices into immersive 3D anatomical models with interactive tissue densities.
Purpose-built models for specific industry challenges — all from your browser.
Monitor lots, detect occupancy, automate vehicle counting.
Explore LabAnalyze drone footage for asset inspection and monitoring.
Explore LabPersistent tracking with ID stabilization and trajectory prediction.
Explore LabIdentify high-traffic areas, optimize shop layout with AI.
Explore LabOptimize checkout and minimize wait times with AI monitoring.
Explore LabAutomated redaction for faces, plates, and sensitive data.
Explore LabCanny, Sobel, Laplacian operators for industrial inspection.
Explore LabContrast, detail, and color optimization with 10+ algorithms.
Explore LabReady-to-run Jupyter notebooks covering object detection, segmentation, tracking, OCR, and more. Open in Colab with one click.
YOLOv5 → YOLO26, DETR, RF-DETR, Grounding DINO, YOLO-World, and more.
SAM, SAM2, SAM3, FastSAM, PaliGemma, SegFormer, and custom pipelines.
ByteTrack, SORT, OC-SORT, YOLO pose estimation, sports analytics.
Custom dataset training for any model. LoRA, full fine-tune, and distillation guides.
GPT-4o, Gemini, Florence-2, Qwen2.5-VL, CLIP, and open-vocabulary detection.
ViT, DINOv2, ResNet, PaddleOCR, GLM-OCR, LaTeX OCR, and scene text.
Stay at the cutting edge. Curated papers, conferences, and model releases — updated for 2026.
CVPR 2025 Best Paper winner. An end-to-end transformer model that solves camera estimation, depth, and correspondences in seconds without bundle adjustment.
Major update to the Segment Anything foundation model, featuring enhanced video tracking stability, native code optimizations, and official PyTorch integration.
The new flagship real-time detector. Features NMS-free (Non-Maximum Suppression) architecture, MuSGD optimizer, and removes DFL parameters for sub-5ms latency.
A distillation framework that transfers semantic knowledge from large Vision Foundation Models to real-time DETRs, boosting AP by 4.5% without latency penalties.
A state-of-the-art suite of open-weights VLMs performing at par with proprietary systems in spatial reasoning, charting, and detailed document understanding.
The premier annual computer vision event starts June 3-7, featuring extensive workshops, tutorials, and primary focus tracks on embodied AI and synthetic datasets.
Complete proceedings, open-access libraries, and real-time model leaderboards.