Surrounding segmentation
Segmentation of all objects +annomalies for a better ML
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Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems. Our services: - Image annotation - Video annotation - Data validation - Data creation - Data collection - Generative AI - Custom AI - Fine-Tuning Custom LLM Agents
At Keymakr the security and privacy of client data are top priorities. We implement a comprehensive approach to safeguard information at every level. Our facilities have restricted access to workstations and secure entry systems to prevent unauthorized access. We maintain a robust network infrastructure protected by firewalls, regular software updates, and enterprise-grade solutions. All data is encrypted both in transit and at rest. Every team member signs strict non-disclosure agreements and undergoes regular training in data privacy, secure handling practices, and compliance protocols. We perform regular internal audits and adhere to industry standards to ensure continuous compliance with data protection regulations.
Segmentation of all objects +annomalies for a better ML
Based on need of the project we could do 2 approaces - give 1 person 1 file to wok on and provide the same questions to a few people for an ambiguos ones
The cuboid annotation is good for projects where you need multiple parameters, like - length, width, height and direction. This approach good for moving objects on 3d scans and widely used in automotive. Over 10k scans-frames
For good work of the model, it might need a solid understanding of the relationships between some of the products, the tool we use allows us to do different types of the relationships - via connection; via attribute
Based on request, these might be defining the diagnosis based on the data client provided or segmentation of the data for future diagnostic