Multi-label neural networks can be challenging to make. With many multilabel datasets being text, difficult to find, or having subjective questionable labels, I created this generator to eliminate one point of error when making multi-label NNs; the dataset.
This generator makes it easy to confirm that a neural network is functioning as expected.
The recommended use case is to create an easy dataset that any neural network should do well on as a basic verification that everything is working as expected; however, if robustness is desired, the difficulty can be increased.
- Images and labels are easily verifiable.
- Dataset difficulty can be easily adjusted using generation parameters.
generate_multilabel_toy_dataset(sample_number=10000, label_count=3, x_res=256, y_res=256, channels=3, v_min=0, v_max=1, size=[10, 40], frequency=[2, 20], label_count=3, label_frequency=0.5, opacity=1, path="", export_folder="ShapesDataset" export_type="image_folder", verbose=True, random_seed=0, random_channel_classes=False)
- Number of samples
- X_res, R_res, Channels
- Number of labels
- Shape Sizes (random between bounds or hard-set)
- Frequency of shapes in image (random between bounds or hard-set)
- Frequency of images to have a label (linear space between bounds or hard-set)
- If shapes should be generated to random channels
- Opacity of generated shapes
- Exporting the dataset into an image-folder/pickle file
- Setting a seed for random numbers
- If messages should be shown (progress bar, comments)
Implement an opacity option.(Added 9/4, Done 9/6/23)Detect files in dataset folder and replace them if generating a new dataset.(Added 8/30, Done 9/2/23)- Add more warnings, tracebacks, and comments. (Added 8/27, Ongoing)
Add an option to get rid of no-label images (all zeros).(Added 8/27, Removed 8/30/23)Add a progress bar.(Added 8/27, Done 8/30/23)Add a set seed for random numbers.(Added 8/27, Done 8/30/23)Add channel-specific classes/shapes.(Added 8/27, Done 8/30/23)Make an option to export a pickle file.(Added 8/27, Done 8/29/23)Allow different classes to have different frequencies (currently only a single-hard-set value).(Added 8/27, Done 8/29/23)
3-labels: (circles, lines, triangles)
5-labels: (circles, lines, triangles, squares, pentagons)
256x256x3 3-label w/ all 3 classes: | 128x256x3 3-label w/ all 3 classes: |
---|---|
256x256x3 5-label w/ all 5 classes: | 256x256x3 5-label w/ all & random channels: | 256x256x3 5-label w/ all & Opacity=0.5: |
---|---|---|
Generation Parameters | Generated (s) | Generated + Pickle (s) | Generated + Image_Folder (s) |
---|---|---|---|
10,000 256x256x3 3-label Default | 5.0 | 16.5 | 30.4 |
10,000 256x256x3 5-label Default | 10.8 | 22.2 | 40.4 |