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01moonshotai /PerceptionBench PerceptionBench PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models Abstract We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing benchmarks often fail to isolate perception: holistic evaluations conflate perceptual errors with failures in reasoning or domain knowledge, while application-driven benchmarks… See the full description on the dataset page: https://huggingface.co/datasets/moonshotai/PerceptionBench.tabularvisual-question-answering1K<n<10K52 likes2.5k downloads2mo agoHugging Face02hrinnnn /PerceptionComp PerceptionComp: A Benchmark for Complex Perception-Centric Video Reasoning PerceptionComp is a benchmark for complex perception-centric video reasoning. It focuses on questions that cannot be solved from a single frame, a short clip, or a shallow caption. Models must revisit visually complex videos, gather evidence across temporally separated segments, and combine multiple perceptual cues before answering. Dataset Details Dataset… See the full description on the dataset page: https://huggingface.co/datasets/hrinnnn/PerceptionComp.tabularvisual-question-answering1K<n<10K2 likes1k downloads6mo agoHugging Face03Bithubs /PerceptionBench PerceptionBench PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models Abstract We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing benchmarks often fail to isolate perception: holistic evaluations conflate perceptual errors with failures in reasoning or domain knowledge, while application-driven benchmarks… See the full description on the dataset page: https://huggingface.co/datasets/Bithubs/PerceptionBench.tabularvisual-question-answering1K<n<10K1 likes130 downloads2mo agoHugging Face04ariefansclub /han-humanoid-perception-anomaly-signals-v1 Humanoid Perception Anomaly Signals (HPAS) Abstract HPAS contains structured anomaly signals detected from humanoid sensor fusion systems during operation. The dataset supports anomaly detection, sensor confidence modeling, and environmental uncertainty research. Fields timestamp sensor_type raw_signal_variance anomaly_score confidence_level environment_context Intended Research Sensor anomaly detection Confidence calibration Environmental… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-perception-anomaly-signals-v1.tabularothern<1K0 likes18 downloads8mo agoHugging Face

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