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Clip Microscope Imagenet dataset by ernestoBocini
⭐ 28.6
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Dataset

Clip Microscope Imagenet

by ernestoBocini hf-dataset--ernestobocini--clip-microscope-imagenet
Nexus Index
28.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 54
R: Recency 26
Q: Quality 30
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 28.6 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--ernestobocini--clip-microscope-imagenet
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__ernestobocini__clip_microscope_imagenet,
  author = {ernestoBocini},
  title = {Clip Microscope Imagenet Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/ernestobocini/clip-microscope-imagenet}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ernestoBocini. (2026). Clip Microscope Imagenet [Dataset]. Free2AITools. https://huggingface.co/datasets/ernestobocini/clip-microscope-imagenet

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
28.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 54
Recency (R) 26
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Clip Microscope Imagenet: Semantic (S:50), Authority (A:0), Popularity (P:54), Recency (R:26), Quality (Q:30).

Free2AITools Nexus Index

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Downloads
54,105

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Dataset Specification

CLIP Microscope ImageNet Dataset

This dataset contains the top activating ImageNet images for each neuron in OpenAI's CLIP RN50x4 model, designed for use with neural network interpretability tools.

Dataset Structure

text 
clip-microscope-imagenet/
├── neurons/                    # Top activating images per neuron
│   ├── neuron_0000/           # Images for neuron 0
│   │   ├── train_rank_00_act_0.8234_idx_12345.jpg
│   │   ├── val_rank_01_act_0.7891_idx_67890.jpg
│   │   └── ...
│   ├── neuron_0001/           # Images for neuron 1
│   └── ...
├── lucid/                     # Lucid-generated feature visualizations
│   ├── neuron_0000_lucid.png
│   ├── neuron_0001_lucid.png
│   └── ...
└── metadata/                  # Dataset metadata and statistics
    ├── neuron_metadata.json   # Detailed neuron information
    ├── dataset_summary.json   # High-level statistics
    └── neuron_summary.csv     # Tabular summary

Usage

This dataset is designed to work with the CLIP Microscope web application. You can access images directly via URLs:

python 
# Base URL
BASE_URL = "https://huggingface.co/datasets/your-username/clip-microscope-imagenet/resolve/main"

# Access neuron images
neuron_image_url = f"{BASE_URL}/neurons/neuron_0123/train_rank_00_act_0.8234_idx_12345.jpg"

# Access lucid images
lucid_image_url = f"{BASE_URL}/lucid/neuron_0123_lucid.png"

Model Information

  • Model: OpenAI CLIP RN50x4
  • Layer: Image encoder blocks
  • Total Neurons: 2560
  • Images per Neuron: Up to 100 (top activating)
  • Source Dataset: ImageNet (train and validation splits)

File Naming Convention

Neuron Images

{split}_rank_{rank:02d}_act_{activation:.4f}_idx_{original_index}.{ext}

  • split: "train" or "val"
  • rank: Ranking among top activations (00 = highest)
  • activation: Neuron activation value
  • original_index: Index in the original ImageNet dataset

Lucid Images

neuron_{neuron_id:04d}_lucid.png

Citation

If you use this dataset, please cite:

  • The original CLIP paper: Radford et al., "Learning Transferable Visual Representations"
  • ImageNet: Deng et al., "ImageNet: A Large-Scale Hierarchical Image Database"

License

This dataset follows the ImageNet license terms. Please ensure compliance with ImageNet's usage guidelines.

Social Proof

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--ernestobocini--clip-microscope-imagenet
slug
ernestobocini--clip-microscope-imagenet
source
huggingface
author
ernestoBocini
license
tags
modality:image, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
54,105
stars
0
forks
0

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