Run Isaac 0.1 on Replicate

Isaac 0.1, developed by Perceptron AI, is a 2-billion-parameter vision-language model designed for grounded perception, excelling in tasks such as optical character recognition (OCR), object recognition, and visual reasoning, despite its relatively small size. It offers unique capabilities like explaining its answers with bounding boxes for transparency and traceability, handling OCR in challenging real-world conditions, and understanding spatial relationships between objects, which is useful for identifying misaligned components or determining object placement. Isaac can quickly learn new tasks from a few examples without requiring fine-tuning, making it efficient for real-time or edge-constrained applications in areas such as robotics, manufacturing, and visual inspection.