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Created March 23, 2020 14:43
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Intel Scene Dataset Image Classification | Rank-1 98.2% Accuracy | fastAI
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mdvsh commented Mar 23, 2020 •
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Intel Scene Classification Challenge

Best so far: 98.18% accuracy achieved

Image classification of the intel-scene dataset leveraging the fastai v1. The goal is to try hit 95%+ accuracy, starting with a basic fastai image classification workflow and interating from there using many improvement stratergies.

This was all run on a GCP VM instance with NVIDIA P100 GPU

Check out the people I beat in this competition here

image

Setup

pseudocodenerd@sharmadhavs
-------------------------
OS: Ubuntu 18.04.4 LTS x86_64
Host: Inspiron 5567
Kernel: 5.3.0-42-generic
CPU: Intel i5-7200U (4) @ 3.100GHz
GPU: Intel HD Graphics 620
GPU: AMD Radeon R7 M260/M265
Memory: 8671MiB / 15911MiB

Google Cloud VM Instance
-------------------------
image-family="pytorch-latest-gpu"\
zone="asia-southt1-b"\
instance-name="fastai-madhav"\
instance-type="n1-highmem-8\
image-project=deeplearning-platform-release\
accelerator="type=nvidia-tesla-p100,count=1"\
boot-disk-size=200GB\
metadata="install-nvidia-driver=True"\

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