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R-CNN Trainer
R-CNN Trainer is a application for object detection models.
7 followers
R-CNN Trainer is a application for object detection models.
7 followers
R-CNN Trainer is a professional desktop application for training, testing, and running R-CNN-based object detection models. It is designed for users who want to prepare their own image datasets, configure training projects, manage model files, and run detections locally on their own computer. The integrated workflow helps organize projects, images, annotations, classes, training settings, model checkpoints, and detection results in a clear and practical interface.
How does it handle very large datasets since it all runs locally? I am wondering if there are any built-in options for splitting training and validation sets or if I have to sort that out on my own before importing.
Loading up my own dataset and getting a checkpoint within an hour felt surprisingly smooth for a local R-CNN setup. The project view that keeps images, classes, and model files in one place is a nice touch compared to wrestling with separate scripts and folders.
Ran a small training job on custom images and the project organization made it easy to keep track of annotations and checkpoints without juggling folders. Wish the detection preview was faster but overall it feels like a solid tool for hands-on R-CNN work.