Datasaur vs MakeSense.ai

Datasaur is a web-based platform for labeling data and coordinating labeling teams. Data Studio handles span, textual or row classification, document classification, OCR, bounding boxes, audio, and conversational labeling. LLM Labs adds sandbox experimentation, knowledge bases, human rating and ranking, and automated evaluation. The Models catalog contains over 200 base models and supports Amazon SageMaker JumpStart, Amazon Bedrock, Azure OpenAI, OpenAI, and Google Vertex AI. Integrations include OCR, language-processing, machine-learning, and cloud-storage services such as Amazon Textract, spaCy, Hugging Face, AWS S3, Google Cloud Storage, and Azure Blob Storage. The API supports webhook import and export, project creation and export, OAuth 2.0, and GraphQL; OAuth credentials are available only on Growth and Enterprise plans. Self-hosting is available with Kubernetes and Helm Chart or Docker. Datasaur states that it maintains SOC 2 Type 2, GDPR, and HIPAA compliance, with encryption at rest and in transit. Free includes one user, 5,000 labels per year, and 100MB storage. Paid plans start at $5,000/yr, and a 14-day trial is listed.

MakeSense.ai is a browser-based tool for labeling photos and preparing datasets for computer vision projects. It supports point, line, rectangle, polygon, and label annotations, with model-assisted labeling through YOLOv5, SSD pretrained on COCO, and PoseNet. Users can load their own YOLOv5 models exported to TensorFlow.js format. Export options include CSV, YOLO, VOC XML, VGG JSON, and COCO JSON; imports include YOLO, VOC XML, and COCO JSON. The available format combinations vary by annotation type, and some are not yet supported. The project says images are not sent to a server and AI features run using TensorFlow.js. It works in a browser across operating systems, and documented local and Docker setups are available; Docker serves the application on localhost:3000. The project describes it as suitable for small computer vision deep-learning projects and dataset preparation. It was founded in 2019, is licensed under GPL-3.0, and credits Piotr Skalski as author and copyright holder. The Free plan costs nothing.