Alternatives and similar repositories for Custom-Faster-RCNN-Using-Tensorfow-Object-Detection-API:

Users that are interested in Custom-Faster-RCNN-Using-Tensorfow-Object-Detection-API are comparing it to the libraries listed below

• vijendra1125 / Custom-Mask-RCNN-Using-Tensorfow-Object-Detection-API
  A sample project to build a custom Mask RCNN model using Tensorflow object detection API
  ☆71Updated 11 months ago
• TanyaChutani / SSD-Tensorflow2.0
  A Tensorflow2.0 implementation of Single Shot Detector
  ☆33Updated 4 years ago
• Samjith888 / Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-
  ☆28Updated 4 years ago
• TannerGilbert / Tensorflow-Object-Detection-with-Tensorflow-2.0
  Use the Tensorflow Object Detection API with Tensorflow 2
  ☆136Updated 3 years ago
• dongjk / faster_rcnn_keras
  faster RCNN keras step by step implementation
  ☆51Updated 6 years ago
• kentaroy47 / frcnn-from-scratch-with-keras
  Faster R-CNN from scratch written with Keras
  ☆168Updated 4 years ago
• Tony607 / object_detection_demo
  How to train an object detection model easy for free
  ☆178Updated 2 years ago
• lars76 / object-localization
  Object localization in images using simple CNNs and Keras
  ☆137Updated 5 years ago
• pythonlessons / OIDv4_ToolKit
  Download and visualize single or multiple classes from the huge Open Images v4 dataset
  ☆47Updated 4 years ago
• kriyeng / yolo-on-colab-notebook
  How to train YOLOv3 using Darknet on Colab 12GB-RAM GPU notebook and optimize the VM runtime load times
  ☆50Updated 5 years ago
• Socret360 / object-detection-in-keras
  ☆44Updated last year
• Tony607 / YOLO_Object_Localization_Keras
  Gentle guide on how YOLO Object Localization works with Keras (Part 2)
  ☆65Updated 6 years ago
• anhtuan85 / Pytorch-SSD-from-scratch
  Pytorch Implementation of Single Shot MultiBox Detector (SSD)
  ☆21Updated 3 years ago
• Tony607 / efficientnet_keras_transfer_learning
  Transfer Learning with EfficientNet in Keras
  ☆88Updated last year
• RomRoc / objdet_fizyr_colab
  Colab (Jupyter) notebook to train Object Detection model with custom dataset, based on Fizyr implementation of RetinaNet in Keras.
  ☆40Updated 5 years ago
• Golbstein / keras-face-recognition
  Who is your doppelgänger and more with Keras face recognition
  ☆49Updated last year
• CrookedNoob / Mask_RCNN-Multi-Class-Detection
  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
  ☆36Updated 6 years ago
• ivangrov / YOLOv3-Series
  Code accompanying YOLOv3 series I have created on YouTube
  ☆66Updated 2 years ago
• italojs / resize_dataset_pascalvoc
  Package to resize ALL your dataset images (into local folder) and change the pascal_VOC coodinates in your .xml file
  ☆109Updated 6 months ago
• pythonlessons / YOLOv3-object-detection-tutorial
  ☆127Updated 4 years ago
• mehulgupta2016154 / TCS_HUMAIN
  ☆37Updated 4 years ago
• AarohiSingla / Faster-R-CNN-on-Custom-Dataset
  Implemented Faster R CNN on Custom Dataset
  ☆22Updated 4 years ago
• hlamba28 / One-Shot-Learning-with-Siamese-Networks
  Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
  ☆137Updated 4 years ago
• BenGreenfield825 / TF_Object_Detection2020
  A guide on how to setup TensorFlow Object Detection API in 2020
  ☆90Updated 2 years ago
• dkarunakaran / facenet_mtcnn_tensorflow_inference_engine
  This is a modified and simplified inference engine of davidsandberg's facenet
  ☆40Updated 4 years ago
• sainimohit23 / FaceNet-Real-Time-face-recognition
  ☆68Updated 5 years ago
• anujshah1003 / Transfer-Learning-in-keras---custom-data
  Implementing Transfer Learning for custom data using VGG-16 and Resnet-50
  ☆149Updated 3 years ago
• roboflow / keras-yolo3
  A Keras implementation of YOLOv3 (Tensorflow backend)
  ☆22Updated 4 years ago
• jaspereb / FasterRCNNTutorial
  A FasterRCNN Tutorial in Tensorflow
  ☆66Updated 4 years ago
• adityaanantharaman / transfer-learning
  Support code for the medium blog on transfer learning. Link to the blog in the Readme file.
  ☆105Updated 5 years ago