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Ikomia HUB

Ready to use Computer Vision algorithms and Apps.

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Train DEIMv2: Real-Time Object Detection Meets DINOv3

Object detection
1.0.1
Apache-2.0
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Infer DEIMv2: Real-Time Object Detection Meets DINOv3

Object detection
1.0.1
Apache-2.0
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DeepSeek-OCR document OCR to Markdown

OCR
1.1.2
MIT
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Transform documents into structured markdown with intelligent content recognition and semantic tagging

OCR
1.0.1
Apache-2.0
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Convert PDF to image

1.0.2
MIT
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Run vision-language model series based on Qwen3

VLM
1.0.1
Apache-2.0
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Run vision-language model series based on Qwen2.5

VLM
1.1.1
Apache-2.0
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Train RF-DETR models

Object detection
1.1.1
Apache-2.0
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Inference with RF-DETR models

Object detection
1.1.1
Apache-2.0
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Inference with YOLOv11 pose estimation models

Keypoints detection
1.1.1
AGPL-3.0
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Train YOLO11 classification models.

Classification
1.1.1
AGPL-3.0
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Inference with YOLOv11 image classification models

Classification
1.1.1
AGPL-3.0
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Train YOLOv11 instance segmentation models.

Instance segmentation
1.1.1
AGPL-3.0
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Inference with YOLOv11 segmentation models

Instance segmentation
1.1.1
AGPL-3.0
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Train YOLOv11 object detection models.

Object detection
1.1.1
AGPL-3.0
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Inference with YOLOv11 models

Object detection
1.1.1
AGPL-3.0
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OCR-free model for document understanding

OCR
1.1.1
MIT
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Remove background with rembg library

Image matting
1.2.1
MIT
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Inference for Segment Anything Model 2 (SAM2).

Semantic segmentation
1.2.1
Apache-2.0
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Depth Anything V2 is a highly practical solution for robust monocular depth estimation

1.1.1
Apache-2.0
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Train YOLOv9 instance segmentation models.

Instance segmentation
1.1.1
GPL-3.0
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Instance segmentation with YOLOv9 models

Instance segmentation
1.1.1
GPL-3.0
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Run OWLv2 a zero-shot text-conditioned object detection model

Object detection
1.2.1
Apache-2.0
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Train YOLOv9 models

Object detection
1.2.1
GPL-3.0
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Object detection with YOLOv9 models

Object detection
1.3.1
GPL-3.0
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Depth Anything is a highly practical solution for robust monocular depth estimation

1.1.1
Apache-2.0
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Algorithm to colorize grayscale image

Colorization
1.1.1
Apache-2.0
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Image restoration algorithms with Swin Transformer

Super resolution
1.1.1
Apache-2.0
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Infer ByteTrack for object tracking

Object tracking
1.1.1
MIT
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Train YOLOv8 classification models.

Classification
1.2.1
AGPL-3.0