Replicate· Platform

Run Isaac 0.1 on Replicate

Try Isaac 0.1 on Replicate Run Isaac 0.1 Perceptron AI has released Isaac 0.1 , a 2B-parameter, open-weight vision-language model built for grounded perception. Isaac answers questions about images, reasons about spatial relationships, reads text in cluttered environments, and points to where its answers come from. Despite its small size, Isaac rivals models many times larger at OCR, object recognition, and visual reasoning. What makes Isaac 0.1 special Grounded visual reasoning Isaac not only describes a scene, but can explain why its answers are correct, returning bounding boxes or regions tied to each claim. This helps you build applications that need transparency, traceability, or step-by-step evidence. Strong OCR in real-world conditions The model reads small or partially obstructed text on signs, labels, packaging, and documents. It combines OCR with contextual understanding, so you can ask questions like: “What’s the return address?” or “How much time is left in the game?” . Spatial awareness for physical environments …

Announced

26 Nov 2025 00:00 UTC