HF RL Explorer

Task: Compute ImageNet Dataset Channel-wise Mean and Standard Deviation

Task: Compute ImageNet Dataset Channel-wise Mean and Standard Deviation: a task in Terminal-Lego-15k (Harbor dataset). PyTorch's pre-trained models use specific normalization values: mean= 0.485, 0.456, 0.406 and std= 0.229, 0.224, 0.225 . These are not arbitrary — they are the actual per-channel…

Part of PrimeIntellect/Terminal-Lego-15k.