How to Train Computer Vision Models on Satellite Imagery
Understanding and training Computer vision model satellite imagery.
CVAT is a capable open-source annotation tool—but enterprise AI demands more. Kili Technology delivers complete AI data governance, model evaluation workflows, and multimodal support that scales from pilot to production. Kili empowers cross-functional teams to build production-ready AI systems—without the engineering overhead of customizing open-source infrastructure.
CVAT tracks annotation tasks and jobs. Kili governs your entire AI data lifecycle. Every label, every review, every iteration is fully traceable—giving you the audit trails regulated industries demand. While CVAT requires significant internal engineering to build governance workflows, Kili provides enterprise-grade traceability out of the box, ensuring you can diagnose model failures back to their data origins and satisfy compliance requirements without custom development.


CVAT was built for ML engineers and annotation specialists. Kili was built for your entire organization. Radiologists, underwriters, quality inspectors, and compliance officers can validate model outputs, review datasets, and refine AI decisions directly—without requiring technical training or engineering support. While CVAT focuses on annotation accuracy within a technical workflow, Kili embeds domain expertise throughout the AI development lifecycle. The result: AI systems shaped by the people who understand your business, not just the engineers who build the models.
CVAT excels at computer vision. Kili handles your entire AI portfolio. Beyond images and video, Kili supports text, documents, PDFs, geospatial imagery, and GenAI human-feedback workflows—all within a unified platform. As enterprises expand from computer vision pilots to multimodal AI programs, Kili scales with you. No need to manage separate tools for different data types; one platform, one workflow, every modality.

Kili's built-in project management and organization-wide governance let you scale from one project to hundreds without engineering investment. Unlike CVAT, which lacks native project management capabilities, Kili is proven to support 100+ concurrent use cases across enterprise teams.
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Financial services, healthcare, and defense organizations choose Kili for complete audit trails and flexible deployment options—including on-premise for sensitive data. CVAT's open-source model raises sustainability concerns and requires custom work to meet enterprise security and compliance requirements.

Kili supports rotated bounding boxes, YOLO export formats, and advanced label search functionality that CVAT users frequently cite as limitations. When your computer vision projects demand precision tooling, Kili delivers without workarounds.
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Building conversational AI, RAG systems, or fine-tuning large language models requires human feedback workflows CVAT wasn't designed for. Kili's GenAI-ready platform enables RLHF, response evaluation, and prompt-output validation—extending your data platform from traditional ML to the frontier of AI development.
Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.
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Kili Technology features a highly intuitive and user-friendly interface with a gentle learning curve, making onboarding fast and efficient. Users consistently report better document/image visibility, clearer workflow indicators, and more convenient shortcuts that streamline the annotation process. In contrast, CVAT's interface, while functional and customizable, can be complex and overwhelming for new users, with a steeper learning curve and navigation that many find dense with multiple sidebars and panels.
Kili implements quality workflows specifically designed for video annotation, including inter-annotator agreement tracking across temporal sequences and programmatic QA for frame consistency. The platform ensures safety-critical edge cases are properly labeled through consensus workflows.
Kili provides a complete toolkit including bounding boxes, polygons, polylines, semantic segmentation, and pose estimation. The platform supports nested ontologies with conditional classifications and object relations, allowing teams to configure custom interfaces for any computer vision task from medical imaging to autonomous vehicles.
Kili integrates Foundation Models for intelligent pre-annotation of video sequences, allowing teams to leverage AI assistance for initial labeling. The platform's keyboard shortcuts can reduce annotation time while maintaining accuracy through human validation.
Kili Technology scales to support as many seats as needed without limits. The platform's largest enterprise clients have more than 300 seats as part of their contract, with high-availability architecture designed to handle millions of assets and concurrent annotators across distributed teams.
Kili Technology supports standard image formats including PNG, JPEG, GIF, BMP, and WebP, plus specialized formats like GeoTIFF with CRS for geospatial data.
Kili Technology's video annotation platform supports all major video formats and can process high-speed camera feeds for applications like manufacturing quality control. The system includes optimized playback and frame-by-frame annotation capabilities essential for precise temporal labeling.
Yes, Kili Technology offers multi-layer interfaces specifically designed for multispectral and hyperspectral imagery. This enables teams to work with complex satellite data containing multiple spectral bands, essential for applications in precision agriculture, environmental monitoring, and urban planning.
With Kili Technology, our video annotation tool allows you to run all labeling tasks on videos: object detection, image segmentation, box annotation, track objects, image classification. And you can do them with a selection of tools: bounding boxes, polygons, semantic segmentation, and much more.