dataset_info:
features:
- name: image_id
dtype: string
- name: label
dtype: int32
- name: clip_model
dtype: string
- name: clip_features
list: float32
- name: vector_dim
dtype: int32
- name: timestamp
dtype: timestamp[ns]
splits:
- name: clip_vit_b32_train
num_bytes: 2723761042
num_examples: 1281167
- name: clip_vit_laion_b32_train
num_bytes: 2789100559
num_examples: 1281167
- name: clip_vit_laion_b32_validation
num_bytes: 108850000
num_examples: 50000
- name: clip_vit_b16_train
num_bytes: 2777570056
num_examples: 1281167
- name: clip_vit_b16_validation
num_bytes: 108400000
num_examples: 50000
- name: clip_vit_l14_train
num_bytes: 4090766231
num_examples: 1281167
- name: clip_vit_l14_validation
num_bytes: 159650000
num_examples: 50000
- name: clip_vit_laion_bigg14_train
num_bytes: 6728689084
num_examples: 1281167
- name: clip_vit_laion_bigg14_validation
num_bytes: 262600000
num_examples: 50000
- name: clip_vit_b32_validation
num_bytes: 108400000
num_examples: 50000
- name: clip_vit_b32_test
num_bytes: 216800000
num_examples: 100000
- name: clip_vit_b16_test
num_bytes: 216800000
num_examples: 100000
- name: clip_vit_laion_b32_test
num_bytes: 217700000
num_examples: 100000
- name: clip_vit_l14_test
num_bytes: 319300000
num_examples: 100000
- name: clip_vit_laion_h14_test
num_bytes: 422500000
num_examples: 100000
download_size: 25438949728
dataset_size: 21250886972
configs:
- config_name: default
data_files:
- split: clip_vit_b32_train
path: data/clip_vit_b32_train-*
- split: clip_vit_b32_validation
path: data/clip_vit_b32_validation-*
- split: clip_vit_laion_b32_train
path: data/clip_vit_laion_b32_train-*
- split: clip_vit_laion_b32_validation
path: data/clip_vit_laion_b32_validation-*
- split: clip_vit_b16_train
path: data/clip_vit_b16_train-*
- split: clip_vit_b16_validation
path: data/clip_vit_b16_validation-*
- split: clip_vit_l14_train
path: data/clip_vit_l14_train-*
- split: clip_vit_l14_validation
path: data/clip_vit_l14_validation-*
- split: clip_vit_laion_bigg14_train
path: data/clip_vit_laion_bigg14_train-*
- split: clip_vit_laion_bigg14_validation
path: data/clip_vit_laion_bigg14_validation-*
- split: clip_vit_b32_test
path: data/clip_vit_b32_test-*
- split: clip_vit_b16_test
path: data/clip_vit_b16_test-*
- split: clip_vit_laion_b32_test
path: data/clip_vit_laion_b32_test-*
- split: clip_vit_l14_test
path: data/clip_vit_l14_test-*
- split: clip_vit_laion_h14_test
path: data/clip_vit_laion_h14_test-*
task_categories:
- feature-extraction
- image-feature-extraction
license: mit
tags:
- features
- image_features
- extracted_features
- precomputed_features
- imagenet
- imagenet_features
- clip_vit
- variants
size_categories:
- 1M<n<10M
Update: 10/2/2025
Claude said that I'm not being careful enough with my database curation after grilling me for 20 minutes, so I included the preparer script as well.
Claude Sonnet 4.5 is kind of a chad.
Update; 9/26/2025
Having to download this whole repo is annoying, so I'm making sure the splits are named train/val/test (if they exist) and the named subset is the clip name.
Older non-dated updates
Everything extracted with torch configured as deterministic; using seed 42 on an a100 using colab; so if it has variances from expectation it's on cuda.
It's a little quirky;
- Most of the splits have train, test, val. Many do not.
- Most of the splits have a proper "image_id" md5 id for verification.
The prompts used were direct literal prompts for the classification name;
No use of "a photo of" or any such invariance; just the classification text.
This is a series of clip-vit extracted feature maps from a 256x256 cropped and resized imagenet variant hosted here on huggingface.
I ran the processor 224x224 and then extracted features from the entire dataset batch-sequentially while simultaneously capturing the necessary classifiers and classifications associated with the images for downstream testing and assessment.
Academic and research purpose use only.
clip-vit-large-patch14 variations do exist in the splits.
clip-vit-bigG is the 1280 dim variation and it does exist; it took quite a while to extract - and it is in fact missing it's test split. Sorry about that.
There are many variants of clip-vit-base from many variant forms. Each of them extracted using the same process as the others.