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simple-faster-rcnn-pytorch
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8 fasterrcnn-pytorch-training-pipeline VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-LearningMy Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
fasterrcnn-pytorch-training-pipeline reviews and mentions
- A simple library to train more than 20 Faster RCNN models using PyTorch (including ViTDet)
- A Library of Faster RCNN Models with Simple Training Pipeline for Custom Dataset
- PyTorch Faster RCNN Library - Support for transformer detection models.
- PyTorch Faster RCNN Custom Dataset Training Made Easy
- An efficient, powerful, and easy training pipeline for Faster RCNN models in PyTorch
- A Faster RCNN Object Detection Pipeline for Custom Training in PyTorch
- A PyTorch library for easily training Faster RCNN models (even with custom backbones) on custom datasets for object detection.
- A very simple pipeline to train FasterRCNN Object Detection Models (WRITTEN IN PYTORCH)
- A Faster RCNN Object Detection Pipeline for custom datasets using PyTorch - Get started with training in 5 minutes
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sovit-123/fasterrcnn-pytorch-training-pipeline is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of fasterrcnn-pytorch-training-pipeline is Jupyter Notebook.
Popular Comparisons
- fasterrcnn-pytorch-training-pipeline VS simple-faster-rcnn-pytorch
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- fasterrcnn-pytorch-training-pipeline VS roboflow-100-benchmark
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