Encord
5.6#8 in ai image segmentation softwareWebAPISelf-hosted
VisitEncord vs LightlyStudio
LightlyStudio
7.7#1 in active learning toolsFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Encord | LightlyStudio |
|---|---|---|
| Annotation | The platform supports human-in-the-loop labeling and review for image, video, audio, text, DICOM, LiDAR, geospatial, ECG, and other data. | The product supports classification, object-detection and segmentation annotations that can be edited in the GUI or through Python. |
| Curation | Encord offers metadata and attribute filtering, embeddings-based search, and natural-language search for dataset curation. | It automatically creates embeddings and supports metadata filtering, text or image similarity search, deduplication, outlier detection, diversity sampling and class balancing. |
| Integrations | Cloud storage integrations named on the site include AWS S3, Azure Data Lake Storage, and Google Cloud Storage; users can access projects, datasets, and annotations through API/SDK. | It reads images and videos from Amazon S3, Google Cloud Storage, and Azure Blob Storage, and supports common annotation formats including COCO, YOLO, Pascal VOC, and YouTube-VIS. |
| Product | Encord describes itself as a multimodal data infrastructure layer for AI teams, spanning pre- and post-training through deployment. | LightlyStudio combines computer vision data curation, annotation, quality assurance, evaluation, and dataset management in one app. |
Encord plans
- EnterprisePriced on request
- StarterPriced on request
- TeamPriced on request
LightlyStudio plans
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
Pick Encord if…
Encord suits AI individuals, teams, and enterprises managing multimodal labeling, curation, and evaluation. It is relevant when API access, varied deployments, and specialized annotation types are needed.
Pick LightlyStudio if…
LightlyStudio suits computer-vision practitioners who need to curate and label image or video datasets and evaluate models. The open-source version is for users who can work without customer support or team collaboration; Enterprise offers those collaboration features.