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* Name of dataset: Classification of Normal vs Malignant Cells in B-ALL White Blood Cancer Microscopic Image
* URL of dataset: https://competitions.codalab.org/competitions/20395#learn_the_details
*…
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In particular, help a learner to learn full gradient descent, mini-batch stochastic gradient descent and etc.
It could be on linear regression or some simple neural network or etc.
But should fo…
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Hi, Bgshih,
What's dataset the pretrained model use? Is it http://www.robots.ox.ac.uk/~vgg/data/text/mjsynth.tar.gz ?[this file is too big....]
I'm confused about it.
If you have time, I h…
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Hello,
First, I would like to thank to have ported this project to github.
I'm phd student at the IRISA lab in Rennes/France and I'm currently working on optical music recognition using deep learnin…
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Hello, I don't know much about ros. I found that the inference file contains functions for pose estimation. When the input is a picture, how can I use these existing functions to estimate the pose of …
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### YOLOv8 Component
Train
### Bug
…
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# Image Annotation in AI - How can we create HelmholtzNet: A large-scale benchmark for major real-world challenges?
# Description
Simply speaking, a combination of annotated data sets and algorith…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
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Vinyalis et al. introduce the mini-ImageNet dataset as a
1. image downsampling (84x84)
2. number of classes reduction (100)
3. number of per-classes images reduction (600)
with respect to reg…