The bedrock of our service has apt human resources at its core, working to make computer vision AI systems better from a training point of view while our clients can focus on their core solutions.
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Develop accurate and pixel perfect datasets to train your computer vision models through us - be it in the space of retail automation, self-driving cars, robotics or geospatial detection systems.
Precision identification of objects in images in semantic segmentation or through bounding boxes/ellipses.
Geo Asset Identification
Maritime Surveillance
Vehicular Risk Mapping
Anatomical Diagnosis
Classify/categorise objects enabling for differentiation between individual objects or object sets.
Recommendation Systems
Agricultural Output Sorting
Robotics Logic Training
Shelf Product Mapping
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Draw cross-sectoral linkages with external databanks to identify objects to other parameters.
Govt. Data Authentication
Surface Disease Linkage
Mapping Infrastructure
Accurate labeling is a critical part for any algorithm to perform as intended. We strive to provide pixel-accurate datasets within cost-effective packages for our clients.
Free demo before starting the project for clarifying confusion areas and problem points.
Detailed task guidelines for resources to minimize roadblocks once work commences.
Provide a project manager who takes ownership of the work and can be reached at any time.
Single-pass QA, ensuring global standard quality control and vetting prior to releasing data.
We provide fully managed annotation services. Our skilled annotators are rigorously trained and our team leads have extensive experience in managing image annotation workflows and coordinating with clients. The perks mentioned here are services we provide which are included in our standard pricing model.
SuperAnnotate Inc. is Acme AI's strategic partner and preferred annotation platform. SuperAnnotate is the fastest annotation platform available for use - enabling best-in-class annotation, automation, quality assurance, and analytics.
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Introductory conversation with a client to understand brief and gather requirements for the workflow unique to a project.
Develop initial annotation guidelines and setup project. Personnel training in data security is conducted.
Mobilise a demo production run, share questions with the client and fine-tune model based on client feedback.
Setup project based on approved model in addition to creating and assigning tasks for annotators.
Delve into the annotation work and complete labeling on all images set provided for the project, either in lots or together.
Operationalise the single-pass QA process in parallel to production to isolate problems and inconsistencies.
Project files in .JSON handed over to the Project Manager which, in turn, is turned over to the client as a final delivery.
Data razed 10 days after delivery or earlier based on client convenience. A detailed report provided on the project and learnings.
Acme AI brings in the best-in-class annotation, practically experienced ML engineers, and infrastructures to tend to nearly all avenues of MLOps. Begin the final trek towards creating your dream AI systems or fine-tuning your existing ML models with us!