DLDL (PASCAL)

Parameters

564M

Published

Nov 6, 2016

DLDL (PASCAL) is an AI model developed by University of Oxford (United Kingdom), first published in November 2016. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. The model has 564,000,000 parameters. It was trained on roughly 22.5K datapoints. Training ran on 1 NVIDIA Tesla K40c.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of VGG16,VGG19. Epoch AI rates the confidence of this record as likely.

Full record

Organization: University of Oxford
Country of organization: United Kingdom
Domain: Vision
Task: Image classification
Parameters: 564,000,000
Dataset size: 22.5K
Training hardware: NVIDIA Tesla K40c
Chips used: 1
Training power draw: 283 W
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Base model: VGG16, VGG19
Epoch confidence: Likely