At Ikomia, we deeply believe that sharing scientific knowledge is the key to success, that's why we make research-based algorithms ready-to-use for developers.

The main goal of Ikomia is to take existing Python code and wrap it as ready-to-use algorithm for Ikomia API (our Python library) and Ikomia STUDIO (our desktop software). With this approach, we can easily integrate individual repos from researchers or labs and also awesome frameworks like OpenCV, Detectron2, OpenMMLab or Hugging Face so that developers can benefit from the best state-of-the-art algorithms in a single framework.

Name	Language	Description	Original repository
auto_annotate		Auto-annotate images with GroundingDINO and SAM models	Made by Ikomia
dataset_classification		Load classification dataset	Made by Ikomia
dataset_coco		Load COCO 2017 dataset	Made by Ikomia
dataset_cwfid		Load Crop/Weed Field Image Dataset (CWFID) for semantic segmentation	Link
dataset_pascal_voc		Load PascalVOC dataset	Made by Ikomia
dataset_via		Load VGG Image Annotator dataset	Made by Ikomia
dataset_wgisd		Load Wine Grape Instance Segmentation Dataset (WGISD)	Link
dataset_wildreceipt		Load Wildreceipt dataset	Made by Ikomia
dataset_yolo		Load YOLO dataset	Made by Ikomia

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Name	Language	Description	Original repository
infer_covidnet		A tailored Deep Convolutional Neural Network Design for detection of COVID-19 cases from chest radiography images.	Link
infer_emotion_fer_plus		Facial emotion recognition using DNN trained from crowd-sourced label distribution.	Link
infer_resnet_action_recognition		Human action recognition with spatio-temporal 3D CNNs.	Link
infer_timm_image_classification		Infer timm image classification models	Link
infer_torchvision_mnasnet		MnasNet inference model for image classification.	Link
infer_torchvision_resnet		ResNet inference model for image classification.	Link
infer_torchvision_resnext		ResNeXt inference model for image classification.	Link
infer_yolo_v8_classification		Inference with YOLOv8 image classification models	Made by Ikomia
train_timm_image_classification		Train timm image classification models	Link
train_torchvision_mnasnet		Training process for MnasNet convolutional network.	Link
train_torchvision_resnet		Training process for ResNet convolutional network.	Link
train_torchvision_resnext		Training process for ResNeXt convolutional network.	Link
train_yolo_v8_classification		Train YOLOv8 classification models.	Made by Ikomia

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Name	Language	Description	Original repository
infer_colorful_image_colorization		Automatic colorization of grayscale image based on neural network.	Link

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Name	Language	Description	Original repository
infer_hf_stable_diffusion		Stable diffusion models from Hugging Face.	Link
infer_neural_style_transfer		Neural network method to paint given image in the style of the reference image.	Link

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Name	Language	Description	Original repository
infer_background_matting		Real-Time High-Resolution Background Matting	Link
infer_modnet_portrait_matting		Inference of MODNet Portrait Matting.	Link
infer_p3m_portrait_matting		Inference of Privacy-Preserving Portrait Matting (P3M)	Link

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Name	Language	Description	Original repository
infer_hf_stable_diffusion_inpaint		Stable diffusion inpainting models from Hugging Face.	Link

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Name	Language	Description	Original repository
infer_detectron2_instance_segmentation		Infer Detectron2 instance segmentation models	Link
infer_detectron2_pointrend		PointRend inference model of Detectron2 for instance segmentation.	Link
infer_hf_instance_seg		Instance segmentation using models from Hugging Face.	Link
infer_sparseinst		Infer Sparseinst instance segmentation models	Link
infer_torchvision_mask_rcnn		Mask R-CNN inference model for object detection and segmentation.	Link
infer_yolact		A simple, fully convolutional model for real-time instance segmentation.	Link
infer_yolo_v7_instance_segmentation		Inference for YOLO v7 instance segmentation models	Link
infer_yolo_v8_seg		Inference with YOLOv8 segmentation models	Link
infer_yolop_v2		Panoptic driving Perception using YoloPv2	Link
train_detectron2_instance_segmentation		Train Detectron2 instance segmentation models	Link
train_mmlab_segmentation		Train for MMLAB segmentation models	Link
train_sparseinst		Train Sparseinst instance segmentation models	Link
train_torchvision_mask_rcnn		Training process for Mask R-CNN convolutional network.	Link
train_yolo_v7_instance_segmentation		Train for YOLO v7 instance segmentation models	Link
train_yolo_v8_seg		Train YOLOv8 instance segmentation models.	Link

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Name	Language	Description	Original repository
infer_detectron2_densepose		Detectron2 inference model for human pose detection.	Link
infer_detectron2_keypoints		Inference for Detectron2 keypoint models	Link
infer_mmlab_pose_estimation		Inference for pose estimation models from mmpose	Link
infer_yolo_v7_keypoints		YOLOv7 pose estimation models.	Link
infer_yolo_v8_pose_estimation		Inference with YOLOv8 pose estimation models	Link

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Name	Language	Description	Original repository
infer_detectron2_detection		Inference for Detectron2 detection models	Link
infer_detectron2_retinanet		RetinaNet inference model of Detectron2 for object detection.	Link
infer_detectron2_tridentnet		TridentNet inference model of Detectron2 for object detection.	Link
infer_face_detection_kornia		Face detection using the Kornia API	Link
infer_grounding_dino		Inference of the Grounding DINO model	Link
infer_mmlab_detection		Inference for MMDET from MMLAB detection models	Link
infer_torchvision_faster_rcnn		Faster R-CNN inference model for object detection.	Link
infer_yolo_v5		Ultralytics YoloV5 object detection models.	Made by Ikomia
infer_yolo_v7		YOLOv7 object detection models.	Link
infer_yolo_v8		Inference with YOLOv8 models	Link
infer_yolop_v2		Panoptic driving Perception using YoloPv2	Link
infer_yolor		Inference for YoloR object detection models	Link
train_detectron2_detection		Train for Detectron2 detection models	Link
train_mmlab_detection		Train for MMLAB detection models	Link
train_torchvision_faster_rcnn		Training process for Faster R-CNN convolutional network.	Link
train_yolo_v5		Train Ultralytics YoloV5 object detection models.	Link
train_yolo_v7		Train YOLOv7 object detection models.	Link
train_yolo_v8		Train YOLOv8 object detection models.	Link
train_yolor		Train YoloR object detection models	Link

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Name	Language	Description	Original repository
infer_bytetrack		Infer ByteTrack for object tracking	Link
infer_deepsort		Multiple Object Tracking algorithm (MOT) combining a deep association metricwith the well known SORT algorithm for better performance.	Link

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Name	Language	Description	Original repository
infer_mmlab_text_detection		Inference for MMOCR from MMLAB text detection models	Link
infer_mmlab_text_recognition		Inference for MMOCR from MMLAB text recognition models	Link
train_mmlab_text_detection		Training process for MMOCR from MMLAB in text detection	Link
train_mmlab_text_recognition		Training process for MMOCR from MMLAB in text recognition	Link

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Name	Language	Description	Original repository
infer_raft_optical_flow		Estimate the optical flow from a video using a RAFT model.	Link

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Name	Language	Description	Original repository
infer_detectron2_panoptic_segmentation		Infer Detectron2 panoptic segmentation models	Made by Ikomia
infer_hf_image_seg		Panoptic segmentation using models from Hugging Face.	Made by Ikomia
infer_mmlab_segmentation		Inference for MMLAB segmentation models	Link
train_mmlab_segmentation		Train for MMLAB segmentation models	Link

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Name	Language	Description	Original repository
infer_detectron2_deeplabv3plus		DeepLabv3+ inference model of Detectron2 for semantic segmentation.	Link
infer_hf_semantic_seg		Semantic segmentation using models from Hugging Face.	Link
infer_mmlab_segmentation		Inference for MMLAB segmentation models	Link
infer_mobile_segment_anything		Inference for Mobile Segment Anything Model (SAM).	Link
infer_segment_anything		Inference for Segment Anything Model (SAM).	Link
infer_transunet		TransUNet inference for semantic segmentation	Link
infer_unet		Multi-class semantic segmentation using Unet, the default model was trained on Kaggle's Carvana Images dataset	Link
infer_yolop_v2		Panoptic driving Perception using YoloPv2	Link
train_detectron2_deeplabv3plus		Training process for DeepLabv3+ model of Detectron2.	Link
train_hf_semantic_seg		Train models for semantic segmentationwith transformers from HuggingFace.	Link
train_mmlab_segmentation		Train for MMLAB segmentation models	Link
train_transunet		Training process for TransUNet model.	Link
train_unet		multi-class semantic segmentation using Unet	Link

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Name	Language	Description	Original repository
infer_swinir_super_resolution		Image restoration algorithms with Swin Transformer	Made by Ikomia

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