What is Picsellia?
Developing computer vision applications often involves juggling separate tools for data management, annotation, model training, and deployment. This fragmented workflow can create bottlenecks, slow down progress, and make collaboration challenging.
Picsellia offers a different approach: a unified MLOps platform built specifically for computer vision teams like yours. We bring together every critical stage of the CV project lifecycle—from organizing raw visual data to monitoring models in production—into one cohesive environment. This helps you streamline development, improve model accuracy, and get your applications deployed faster.
Key Capabilities:
📊 Centralize and Structure Visual Data: Aggregate images and videos from diverse sources (AWS, GCP, Azure, on-prem) into a structured Datalake. Use powerful metadata tagging and SQL-like queries to easily explore, filter, and curate pixel-perfect datasets for your specific needs.
✍️ Accelerate High-Quality Annotation: Leverage a versatile suite of labeling tools supporting bounding boxes, polygons, keypoints, classification, and more. Speed up the process significantly with AI-assisted features (like SAM or DINOv2 pre-labeling) and foster teamwork with built-in collaboration tools for review and quality control.
⚙️ Streamline Model Development & Training: Manage the entire model lifecycle within Picsellia. Track experiments, version models and datasets, tune hyperparameters, and debug code using integrations with popular tools like MLflow and Weights & Biases.
🚀 Deploy and Monitor Models Confidently: Orchestrate the deployment of your trained models to various serving engines (cloud or edge). Continuously monitor model performance in real-time, review predictions, and gather insights to drive improvements and retraining cycles.
🤝 Enhance Team Collaboration: Facilitate seamless teamwork across your entire CV project. Features like shared workspaces, role-based access, multi-step annotation workflows, and integrated communication tools keep everyone aligned and productive.
🔒 Ensure Robust Security & Governance: Maintain full control over your data with granular user permissions, data retention policies, and comprehensive audit trails. Picsellia is ISO/IEC 27001:2022 certified, demonstrating a commitment to high security standards.
How Teams Use Picsellia:
Improving Industrial Automation: A waste management company, PellencST, needed to rapidly develop and iterate on models for their sorting machines. Using Picsellia's integrated platform, they slashed their time-to-model by 90%, enabling faster deployment of more accurate sorting capabilities.
Advancing Precision Agriculture: AgriTech firms like Abelio handle vast amounts of aerial and sensor imagery. By centralizing their data management and streamlining labeling workflows with Picsellia, they reduced time-to-model and improved data management efficiency by up to 50%, leading to quicker insights for crop health and yield optimization.
Increasing Construction Site Observability: Altaroad utilizes computer vision to monitor construction sites. Picsellia helps them efficiently manage diverse visual data (images, videos), train models to detect specific events or objects, and ultimately increase the overall observability and safety of complex work sites.
Connects with Your Existing Ecosystem:
Picsellia is designed to fit into your workflow, integrating smoothly with the tools and platforms you already use:
Object Storage: AWS S3, Google Cloud Storage, Azure Blob Storage, MinIO, On-Premise Storage
Deep Learning Tooling: PyTorch, TensorFlow, Keras, Hugging Face, MLflow, Weights & Biases, Jupyter, Ultralytics
Generative AI Models: Anthropic, Mistral AI, OpenAI, Meta
Serving Engines: AWS SageMaker, Google Vertex AI, Azure Machine Learning
Data Warehouses & Endpoints: Snowflake, Databricks, Nvidia Jetson, Webhooks, Cameras
Conclusion:
Picsellia addresses the core challenges of computer vision development by providing a truly integrated MLOps environment. Instead of wrestling with disconnected tools, your team gets a unified platform to manage data, accelerate annotation, train robust models, and deploy applications with confidence. It’s the comprehensive toolkit designed to help you build better CV models, faster.

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