datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
neuralatlas-attributions-convnext_tinyE2AM_ConvNeXtV2_CIFAR10E2AM_ConvNeXtV2Nano
E2AM Ablation Results: ConvNeXtV2-Nano
Energy-aware training ablation study for ConvNeXtV2-Nano across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial. 15 deployment runs.… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ConvNeXtV2Nano.E2AM_ConvNeXtV2Tiny
E2AM Ablation Results: ConvNeXtV2-Tiny
Energy-aware training ablation study for ConvNeXtV2-Tiny across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial. 15 deployment runs.… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ConvNeXtV2Tiny.convnext
Dataset Card for "convnext"
More Information needed
convnext_cifar10_demoeuroSAT-convnextconvnextExtracting features from the massive danbooru anime image dataset using a computer vision model.
Fields include:
The feature vectors generated by the ConvNeXt Large model, the embeddings.
May contain image_id or tags corresponding to the original dataset.
finetuning_convnext_dataE2AM_ConvNeXtV2_TinyImageNetE2AM_ConvNeXtV2_CIFAR100