esgario / lara2018Links
This repository is intended to develop the work supported by the Latin America Research Awards 2018.
☆38Updated 2 years ago
Alternatives and similar repositories for lara2018
Users that are interested in lara2018 are comparing it to the libraries listed below
Sorting:
- Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020☆372Updated 4 years ago
- ☆84Updated 3 years ago
- Image classification using pytorch☆62Updated 2 years ago
- Train a Mask R-CNN model with the Tensorflow Object Detection API☆76Updated 4 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆72Updated 6 years ago
- Object Detection and Image Segmentation with Detectron2☆164Updated 3 years ago
- The plant disease detection system with efficient image segmentation and feature extraction algorithms and statistical models.☆29Updated 4 years ago
- IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition☆256Updated 3 years ago
- A COCO image and masks generator tutorial for semantic segmentation purposes.☆78Updated 5 years ago
- In this repo, I've trained an object detection model to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared i…☆41Updated 5 years ago
- Skin Lesion Segmentation using various Deep Learning technique☆28Updated 6 years ago
- A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.☆157Updated 2 years ago
- Implementing polyp segmentation using the U-Net and CVC-612 dataset.☆68Updated 4 years ago
- Dataset of diseased plant leaf images and corresponding labels☆801Updated last year
- Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on…☆82Updated 3 years ago
- Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation☆62Updated 4 years ago
- Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆75Updated 5 years ago
- Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.☆241Updated 4 years ago
- UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the …☆143Updated 2 years ago
- Learn how to train a custom instance segmentation model with Detectron2☆102Updated 4 years ago
- Train your own custom MaskRCNN Object Detection and Instance Segmentation model.☆62Updated 4 years ago
- ☆74Updated 2 years ago
- The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is repla…☆47Updated 4 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆48Updated 5 years ago
- 🧰 Grad-CAM implementation using TensorFlow 2.X code. Including guided Grad-CAM and counterfactuals.☆49Updated 4 years ago
- Keras implementation of ViT (Vision Transformer)☆350Updated 5 months ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆105Updated 2 years ago
- ✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2…☆69Updated 4 years ago
- BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.☆435Updated 4 years ago
- Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle☆144Updated 5 years ago