Data · dataset · 2022
nateraw/imagenette
Listed in Hugging Face Datasets
Imagenette is a subset of 10 easily classified classes from the Imagenet dataset.
Description
It was originally prepared by Jeremy Howard of FastAI. The objective behind putting together a small version of the Imagenet dataset was mainly because running new ideas/algorithms/experiments on the whole Imagenet take a lot of time.
This version of the dataset allows researchers/practitioners to quickly try out ideas and share with others. The dataset comes in three variants:
Read the rest (3 more)
- Full size
- 320 px
- 160 px
Note
The v2 config correspond to the new 70/30 train/valid split (released in Dec 6 2019).
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/nateraw/imagenette ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/nateraw/imagenette ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | nateraw/imagenette | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |