🌌 Ikomia API Notebooks Collection

⭐ Welcome to the Ikomia API Notebooks Collection! Explore our wide range of Jupyter notebooks for computer vision tasks, including object detection, segmentation, classification, and more.

Documentation Notebook

Notebook	Description
Make a simple workflow	Learn how to use the Ikomia API to easily prototype some Computer Vision workflows
Ikomia SCALE welcome on board	Shows how to get started with Ikomia SCALE, a SaaS platform for deploying Ikomia workflows on dedicated endpoints
Ikomia SCALE - Deploy FLUX.1	End-to-end example for deploying text-to-image models on dedicated endpoints

Object Detection

Notebook	Description
Run Camera Stream Processing	Show how run video stream for real-time processing using YOLOv7 as an example
Run Face Detection and Blur	Shown how to create a workflow for face detection with Kornia and blurring with OpenCV
Use Detectron2 Object Detection	Shows how to use Detecton 2 for object detection
Use MMDetection	Shows how to run the MMDetection toolkit
Run Grounding Dino	Shows how to Grounding Dino for Zero-Shot object detection
Train YOLOR construction safety dataset	Shows how to train to fine-tune a YOLOR model on a safety construction dataset
Train YOLO v7	Shows how to train to fine-tune a YOLOv7 model on aerial airplane dataset
Train YOLO v9	Shows how to train to fine-tune a YOLOv9 model on a basketball dataset
Use YOLO-World	Shows how to use YOLO-World for zero-shot object detection
Train YOLO v10	Shows how to train to fine-tune a YOLOv10 model on a Chess pieces dataset
Use OWLv2	Shows how to use OWLv2 for zero-shot object detection

Segmentation

Notebook	Description
Run DeepLabPlus	Shows how to run DeepLabV3 + for semantic segmentation
Run Mask R-CNN	Shows how to run Mask R-CNN for segmentation
Run MnasNet	Shows how to run MnasNet for instance segmentation
Run YOLACT	Shows how to run YOLACT for instance segmentation
Run SparseInst	Shows how to run SparseInst for instance segmentation
Run YOLOP v2	Shows how to run YOLOPv2 road, lane segmentation and vehicule detection
Use MMSegmentation	Shows how to use the MMsegmentation toolkit
Use MobileSAM	Shows how to run the Faster Segment Anything Model
Train YOLO v8 segmentation	Shows how to fine-tuned YOLOv8 instance segmentation on a coral dataset
Use YOLO v9 & SAM	Shows how to create a workflow using object detection with YOLOv9 - object filtering by class - and segmentation with mobile_sam or SAM
Use SAM2	Shows how to run SAM2

Classification

Notebook	Description
Run Faster R-CNN
Run ResNext
Train Classification Model

Diffusion & Image Art

Notebook	Description
Run Neural Style Transfer
Run Kandinsky
Run Stable Diffusion
Use SAM and SD inpaint
Run Stable Cascade
Run and deploy Face inpainting

Background Removal

Notebook	Description
Run MODNet
Run P3M

Super Resolution and Image Restoration

Notebook	Description
Run SwinIR super resolution

Tracking

Notebook	Description
Use ByteTrack
Use DeepSORT

Pose Estimation

Notebook	Description
Run YOLO v8 pose

OCR (Optical Character Recognition)

Notebook	Description
Use MMOCR
Run and deploy MMOCR

Other

Notebook	Description
Use Canny
Use Google Cloud Vision API
Use Depth Anything
Use Florence-2