datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
E2AM_ResNet50
E2AM Ablation Results: ResNet-50
Energy-aware training ablation study for ResNet-50 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.
Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ResNet50.resnet50-imagenet-embeddingsLogo-Recognition-ResNet50-TripletNet-Embeddings-Datasetsmart-repro-imagenet-resnet50-logitsmit67_8020_resnet50_gap_oof_featuresautotrain-data-resnet50_test
AutoTrain Dataset for project: resnet50_test
Dataset Description
This dataset has been automatically processed by AutoTrain for project resnet50_test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<1920x1920 RGB PIL image>",
"target": 2
},
{
"image": "<1080x721 RGB PIL image>",
"target": 2
}
]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SRGui/autotrain-data-resnet50_test.mit67_resnet50_places365_oof_featuresmit67_official_resnet50_gap_oof_featuresmit67_official_resnet50_multiscale_oof_featuresmit67_std_resnet50_gap_oof_featureseval_koch_default_resnet50_not_pretrainedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "koch",
"total_episodes": 8,
"total_frames": 5672,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/shin1107/eval_koch_default_resnet50_not_pretrained.eval_koch_defaultpos_resnet50This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "koch",
"total_episodes": 8,
"total_frames": 5714,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/shin1107/eval_koch_defaultpos_resnet50.how2sign-resnet50-mediapipe-30-pose
How2Sign ResNet50 + MediaPipe 30-Pose Features
This repository contains pre-extracted feature archives derived from the How2Sign dataset for sign language translation and related multimodal sequence modeling tasks.
The current upload includes compressed split archives in .tar.zst format:
how2sign_train_frontal_features.tar.zst
how2sign_train_side_features.tar.zst
how2sign_val_frontal_features.tar.zst
These archives are intended to serve as downloadable preprocessed inputs for… See the full description on the dataset page: https://huggingface.co/datasets/sodonne6/how2sign-resnet50-mediapipe-30-pose.resnet50_experimentsGIT_TAG-awa2_resnet50_SubclassDetection_metadataeval_koch_default_resnet50_pretrainedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "koch",
"total_episodes": 8,
"total_frames": 4353,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/shin1107/eval_koch_default_resnet50_pretrained.5d5968d-awa2_resnet50_MislabelingDetection_p10_metadata3b02929-awa2_resnet50_SubclassDetection_metadataVisualGenome-ResNet50-embeddingsresnet50_aug_applemit67_resnet50_places365-oof-features5d5968d-awa2_resnet50_MislabelingDetection_p05_metadata2fc831c-awa2_resnet50_ShortcutDetection_metadata5d5968d-awa2_resnet50_MislabelingDetection_p15_metadataGIT_TAG-awa2_resnet50_ClassDetection_metadata2fc831c-awa2_resnet50_MixedDatasets_metadataspawrious_resnet50_hparams_dictGIT_TAG-awa2_resnet50_MislabelingDetection_metadataImageNet-ResNet50-embeddingsCamoPatch_ResNet50_ImgNet1K_1