LightlyStudio – an open-source multimodal data curation and labeling tool

Summary

Curate, Annotate, and Manage Your Data in LightlyStudio. Welcome to LightlyStudio! We at Lightly created LightlyStudio, an open-source tool designed to unify your data workflows from curation, annotation and management in a single tool. Since we're big fans of Rust we used it to speed things up. You can work with COCO and ImageNet on a Macbook Pro with M1 and 16GB of memory! Curate, Annotate, and Manage Your Data in LightlyStudio. 💻 Installation Runs on Python 3.8 or higher on Windows, Linux and MacOS. pip install lightly-studio 🚀 Quickstart Download example datasets by cloning the example repository or directly use your own YOLO/COCO dataset: git clone https://github.com/lightly-ai/dataset_examples dataset_examples Image Folder To run an example using an image-only dataset, create a file named example_image.py with the following contents in the same directory that contains the dataset_examples/ folder: import lightly_studio as ls # Indexes the dataset, creates embeddings and stores everything in the database. Here we only load images. dataset = ls . Dataset . create () dataset . add_samples_from_path ( path = "dataset_examples/coco_subset_128_images/images" ) # Start the UI server on localhost:8001. # Use env variables LIGHTLY_STUDIO_HOST and LIGHTLY_STUDIO_PORT to customize it. ls . start_gui () Run the script with python example_image.py . Now you can inspect samples in the app. YOLO Object Detection To run an object detection example using a YOLO dataset, create a file named example_yolo.py with the following contents in the same directory that contains the dataset_examples/ folder: import lightly_studio as ls dataset = ls . Dataset . create () dataset . add_samples_from_yolo ( data_yaml = "dataset_examples/road_signs_yolo/data.yaml" , ) ls . start_gui () Run the script with python example_yolo.py . Now you can inspect samples with their assigned annotations in the app. COCO Instance Segmentation To run an instance segmentation example using a COCO dataset, crea...