Ready to use Computer Vision algorithms and Apps.
Run vision-language model series based on Qwen3
Run vision-language model series based on Qwen2.5
Train RF-DETR models
Inference with RF-DETR models
Inference with YOLOv11 pose estimation models
Train YOLO11 classification models.
Inference with YOLOv11 image classification models
Train YOLOv11 instance segmentation models.
Inference with YOLOv11 segmentation models
Train YOLOv11 object detection models.
Inference with YOLOv11 models
OCR-free model for document understanding
Remove background with rembg library
Inference for Segment Anything Model 2 (SAM2).
Depth Anything V2 is a highly practical solution for robust monocular depth estimation
Train YOLOv9 instance segmentation models.
Instance segmentation with YOLOv9 models
Run OWLv2 a zero-shot text-conditioned object detection model
Train YOLOv9 models
Object detection with YOLOv9 models
Depth Anything is a highly practical solution for robust monocular depth estimation
Algorithm to colorize grayscale image
Image restoration algorithms with Swin Transformer
Infer ByteTrack for object tracking
Train YOLOv8 classification models.
Inference of the Grounding DINO model
Train YOLOv8 object detection models.
Inference with YOLOv8 segmentation models
Inference with YOLOv8 pose estimation models
Face detection using the Kornia API