Codatta(@codatta_io):Teaching a robot to pick up objects is hard. Teaching it to operate them is harder. Our Appliance-Knobs Dataset on @huggingface focuses specifically on this type of fine-grained interaction. It features detailed visual data tailored for capturing the subtle geometric and functional variations of rotary controls. What makes it different: 1️⃣ Multi-Angle Views: Paired images (front & side) for every knob, giving models the multi-perspective data needed for robust 3D shape estimation. 2️⃣ Specialized Focus: A deep dive into electrical appliance knobs—an underrepresented class crucial for fine-grained object understanding. 3️⃣ Precision Ready: Optimized for state recognition and exact knob angle/position estimation. Built for: Multi-View Object Recognition | 3D Shape Reconstruction | Generative AI Training. 🔗 Download the dataset:

2026.06.29 13:00

Teaching a robot to pick up objects is hard. Teaching it to operate them is harder. Our Appliance-Knobs Dataset on @huggingface focuses specifically on this type of fine-grained interaction. It features detailed visual data tailored for capturing the subtle geometric and functional variations of rotary controls. What makes it different: 1️⃣ Multi-Angle Views: Paired images (front & side) for every knob, giving models the multi-perspective data needed for robust 3D shape estimation. 2️⃣ Specialized Focus: A deep dive into electrical appliance knobs—an underrepresented class crucial for fine-grained object understanding. 3️⃣ Precision Ready: Optimized for state recognition and exact knob angle/position estimation. Built for: Multi-View Object Recognition | 3D Shape Reconstruction | Generative AI Training. 🔗 Download the dataset: