Argilla vs Intellisane Annotation Platform

Argilla is a free collaboration tool for AI engineers and domain experts building datasets with human feedback. It supports NLP, LLM, and multimodal projects, including classification, named entity recognition, retrieval-augmented generation, and preference tuning. Contributors can provide labels, ratings, rankings, and written responses; annotation tools include filters, AI feedback suggestions, and semantic search. The system handles text and images, while custom fields can represent audio, video, or other content rendered as base64 or HTML. It is compatible with Hugging Face and spaCy, and tutorials cover SetFit and LlamaIndex. Deployment options include Hugging Face Spaces or a local machine or server using Docker Compose. A Python SDK connects to an Argilla server with an API URL and key, and the server exposes REST API documentation. Datasets and records can be moved to or from Python, local disk, and the Hugging Face Hub. Argilla supports OAuth2 through Hugging Face, GitHub, and Google by default. It does not train models; on Hugging Face Spaces, data on ephemeral free storage is lost when the Space restarts.

Intellisane Annotation Platform prepares image, video, audio, text, and 3D point-cloud data for AI training. Its image tools cover boxes, polygons, ellipses, polylines, keypoints, and semantic segmentation; other workflows include transcription, video tracking, text annotation, and 3D LiDAR annotation. Teams can divide projects into batches, track progress, and export each batch independently. Workspaces assign Owner, Manager, Annotator, and Reviewer roles. Reviewers can approve or reject batches with comments or request corrections. Data can be uploaded or imported from AWS S3 and Google Cloud Storage, then exported in COCO JSON, YOLO v5/v8, Pascal VOC XML, or custom JSON, including direct pushes to those storage services. The cloud service has a free plan at free, covering up to 3 members, 2 projects, 1,000 annotations, and 200 assets, with no credit card required. The company states a 98%+ accuracy guarantee and support for 80+ languages. Intellisane is based in Dhaka, Bangladesh.