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Ghana Crop Disease Detection Challenge

Helping Ghana
$8 000 USD
Completed (over 1 year ago)
Computer Vision
Object Detection
2205 joined
344 active
Starti
Oct 04, 24
Closei
Dec 15, 24
Reveali
Dec 15, 24
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heythem
mohamed boudiaf university
can i use faster rcnn
Help · 2 Dec 2024, 14:52 · 1

I started working with it but I don't know if it's okay because it is a little big or as long as the training is smaller than 8 hours it's enough

Discussion 1 answer
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CodeJoe

Resource Restrictions

Your solutions for this challenge must be able to function in a resource-limited setting i.e. it should run on a low-resource smartphone. As such, we are imposing the following restrictions on resources:

  • T4 GPU, maximum 9h training, maximum 3h inference
  • Model frameworks must be appropriate for use on edge devices (e.g. ONNX, TensorFlow Lite)

As long as it fits this description you are good to go. Just remember if it is too big and takes long to run on an edge device especially a mobile phone, it is not ideal to use it. If otherwise, you are good to go. It should also support these format (ONNX and Tensorflow Lite). Check for the Speed CPU ONNX(ms). If it surpasses 100ms, it might not be ideal. If all is good, then why not.

2 Dec 2024, 15:02
Upvotes 2