CIFAR-10 and CIFAR-100 Datasets
Labeled subsets of the 80 million tiny images dataset for machine learning research.
16d ago
Best for General AI
PricingFree
Free
Image Classification
Object Recognition
Machine Learning Model Training
Halo by Brilliant Labs
4.6
Paid Users praise the open-source nature and on-device AI capabilities, but some note limited battery life.
The open-source glasses platform for the curious and creative, enabling realtime, multimodal AI conversations.
General AIPaid pricingAPI availableUpdated 2026-04-01
Good for
Realtime AI ConversationsObject Recognition
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Editorial Note
The open-source glasses platform for the curious and creative, enabling realtime, multimodal AI conversations.
About Halo by Brilliant Labs
Halo by Brilliant Labs is an open-source smart glasses platform designed for developers and creators interested in exploring on-device AI. The glasses feature a micro color OLED display, bone conduction speakers, and optical-grade lenses (with prescription and sunglass options). The integrated Alif B1 processor (Cortex-M55 CPU and NPU) facilitates on-device AI inference, leveraging ultra-low-power optical sensors, dual microphones with audio activity detection, and a 6-axis IMU. Halo runs ZephyrOS with a Lua interface and connects to a cross-platform mobile app. The glasses are also integrated with Noa, a cloud-based AI agent capable of realtime, multimodal conversations, memory recall, and personalized interactions. The platform is open-source for both hardware and software, promoting community-driven innovation.
Quick Summary
The open-source glasses platform for the curious and creative, enabling realtime, multimodal AI conversations.
15-30 minutesSetup: advanced
General AI
Product Release Intel
Data Freshness
Checked Apr 1, 2026
Visual Preview
Quick visual proof for Halo by Brilliant Labs. Helps non-technical users understand the interface faster.
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Sources tracked: 6
Core Capabilities
Halo by Brilliant Labs is an open-source smart glasses platform designed for developers and creators interested in exploring on-device AI.
