Labelbox vs MakeSense.ai

Labelbox provides tools for AI training data, reinforcement learning environments, evaluations, annotation, and enterprise agent workflows. Its Recursion platform can run fleets of agents across connected applications. Work can start from schedules, alerts, events, or API calls; agents can plan jobs, run specialist agents in parallel, use sandboxes, and return graded results with evidence. Shown integrations include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. Horizon supplies reinforcement-learning environments and evaluations for reasoning, tool use, and computer use. Labelbox Annotate offers more than 10 editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, and natural language processing. Expert services cover RLHF, supervised fine-tuning, preference ranking, red teaming, and coding or agent tasks. The company says its experts span over 200 domains and 30 languages. A free tier includes 10,000 Labelbox units before card charging. Pricing is otherwise directed to contact.

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.