Lightly uses its data selection technology to compare against random and other subsampling methods on well-known academic datasets. We make the filenames of the samples in the curated datasets available here, for free, so that everyone can use the improved datasets for their own applications.
Note: We only run the training data through our data selection solution. The test set stays the same.
Task: Object Detection (7 classes)
Total dataset: 7481 images
Training set: 5984 images
Curated training set (90%): 5386 images
Validation set: 1497 images
Using Lightly we can save 10% of the data labeling costs while improving the model accuracy!