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Ikomia HUB

Ready to use Computer Vision algorithms and Apps.

AppsAlgorithms
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Generalized-scale instance segmentation with GECO2 from bbox exemplars.

Instance segmentation
1.0.0
MIT
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Run LocateAnything-3B for open-vocabulary object detection

Object detection
1.0.0
Custom license
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Unlimited-OCR document OCR to Markdown

OCR
1.0.0
MIT
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Inference with RF-DETR segmentation models

Instance segmentation
1.1.1
Apache-2.0
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Classify document image orientation as 0, 90, 180, or 270 degrees

Classification
1.0.0
Apache-2.0
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Train RF-DETR instance segmentation models

Instance segmentation
Apache-2.0
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Inference with RF-DETR models

Object detection
1.2.1
Apache-2.0
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Train RF-DETR models

Object detection
1.2.1
Apache-2.0
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Inference with YOLOv11 models

Object detection
1.2.1
AGPL-3.0
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Inference with YOLOv11 pose estimation models

Keypoints detection
1.2.1
AGPL-3.0
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Inference with YOLOv11 segmentation models

Instance segmentation
1.2.1
AGPL-3.0
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Inference for MMDET from OneDL MMDetection models

Object detection
3.1.1
Apache-2.0
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Inference for pose estimation models from mmpose

Keypoints detection
3.4.1
Apache-2.0
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Inference for MMOCR from MMLAB text detection models

OCR
3.1.0
Apache-2.0
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Train for MMOCR from MMLAB KIE models

OCR
3.1.0
Apache-2.0
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Training process for MMOCR from MMLAB in text detection

OCR
1.1.0
Apache-2.0
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Train MMDetection models

Object detection
2.1.0
Apache-2.0
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Inference for MMLAB segmentation models

Semantic segmentation
+1
3.1.0
Apache-2.0
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Inference for MMOCR from MMLAB text recognition models

OCR
4.1.0
Apache-2.0
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Inference for MMOCR from MMLAB KIE models

OCR
3.1.0
Apache-2.0
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Train for MMLAB segmentation models

Instance segmentation
+2
3.1.0
Apache-2.0
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Training process for MMOCR from MMLAB in text recognition

OCR
2.1.0
Apache-2.0
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Run florence 2 segmentation with or without text prompt

Instance segmentation
3.0.0
MIT
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Run florence 2 object detection with or without text prompt

Object detection
3.0.0
MIT
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Inference for text recognition (OCR) with Florence-2

OCR
3.0.0
MIT
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Image captioning with Florence-2

3.0.0
MIT
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Inference with D-FINE models

Object detection
3.0.0
Apache-2.0
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Train D-FINE models

Object detection
2.0.0
Apache-2.0
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Inference with YOLO26 models (Ultralytics)

Object detection
1.1.2
AGPL-3.0
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Inference with YOLO26 pose estimation models

Keypoints detection
1.1.0
AGPL-3.0