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LingBot-Depth 2.0, trained on 150M samples, solves the longstanding problem of robots being blind to glass and transparent objects, achieving top performance on 12/16 depth benchmarks and halving depth error. Ant Group used it to significantly improve their robots' perception.
LingBot-Depth 2.0 is a depth-completion model that halves depth error, excels on transparent objects like glass and mirrors, and tops 12 out of 16 benchmarks, powered by the open-source LingBot-Vision backbone.