Import Images
Drag and drop images to Supervisely, supported formats: .jpg, .jpeg, jpe, .mpo, .bmp, .png, .tiff, .tif, .webp, .nrrd
Drag and drop images to Supervisely, supported formats: .jpg, .jpeg, jpe, .mpo, .bmp, .png, .tiff, .tif, .webp, .nrrd
Images with corresponding annotations
Import images from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)
Upload images using .CSV file
Image project with person instances
Transform YOLO v5 format to supervisely project
Connect your remote storage and import data without duplication. Data is stored on your server but visible in Supervisely
Convert DICOM data to nrrd format and creates a new project with images grouped by selected metadata
Labeled roads (sample: 100 images, full version: 1000 images)
Upload images by reading links (Google Cloud Storage) from CSV file
Match image tag with CSV columns and add row values to image
6 images with annotated lemons and kiwifruits
594 unlabeled images
10 images with labeled road
Labeled images of products on the shelve: snacks, chips, crisps
Sample images project without labels
Copies images + annotations + images metadata
Import images with binary masks as annotations
Import public or custom data in Pascal VOC format to Supervisely
Unlabeled images: sunflower / pumpkin (peeled + unpeeled) / mix
Import Metadata for Images in Project
What breed is this cat? demo for visual tagging app
1171 sample gt-labeled images
Convert .CSV catalog to Images Project
Application imports kaggle dataset 'Movie genre from its poster' as supervisely project
Illustrates alpha support in Supervisely
156 unlabeled images with roads
Labeled images: snacks: chips / crisps / mix
17 unlabeled images for quick tests
Tag (name of breed) is assigned to every image
Import images groups connected via user defined tag
Import Cityscapes to Supervisely
726 sample gt-labeled images
1171 sample prediction-labeled images
726 sample pred-labeled images
Converts COCO format to Supervisely