Ready to use Computer Vision algorithms and Apps.
Run LocateAnything-3B for open-vocabulary object detection
Inference with RF-DETR models
Train RF-DETR models
Inference with YOLOv11 models
Inference for MMDET from OneDL MMDetection models
Train MMDetection models
Run florence 2 object detection with or without text prompt
Inference with D-FINE models
Train D-FINE models
Inference with YOLO26 models (Ultralytics)
Train YOLO26 object detection models.
Face analysis with detection, age, gender, and emotion prediction using UniFace
Face search using UniFace - find matching faces in an image database
Lightweight production-ready face analysis library built on ONNX Runtime.
Train DEIMv2: Real-Time Object Detection Meets DINOv3
Infer DEIMv2: Real-Time Object Detection Meets DINOv3
Train YOLOv11 object detection models.
Run OWLv2 a zero-shot text-conditioned object detection model
Train YOLOv9 models
Object detection with YOLOv9 models
Auto-annotate images with GroundingDINO and SAM models
Inference of the Grounding DINO model
Train YOLOv8 object detection models.
Inference with YOLOv8 models
Face detection using the Kornia API
Load COCO 2017 dataset
Load YOLO dataset
TridentNet inference model of Detectron2 for object detection.
RetinaNet inference model of Detectron2 for object detection.
Inference for Detectron2 detection models
