I am using CornerNet to train on my dataset for cell detection. My dataset contains images with fewer than ten cells, and I've confirmed that two corner points cover the cells. After training, the predictions for both tl_heatmap and br_heatmap are negative and incorrect. Could you suggest any possible solutions to this issue?
Hello,
I am using CornerNet to train on my dataset for cell detection. My dataset contains images with fewer than ten cells, and I've confirmed that two corner points cover the cells. After training, the predictions for both tl_heatmap and br_heatmap are negative and incorrect. Could you suggest any possible solutions to this issue?
Thank you.