yf-indrata Goto Github PK

cocosynth

COCO Synth provides tools for creating synthetic COCO datasets.

cwfid-image-segmentation

Crop Weed Field Image Data-set (CWFID) contains 60 on-field images of carrot crop alongside some weeds. The objective of this project is to identify and segment the crop, weeds and the background from the given image. I have used few of semantic segmentation model for this purpose in this project.

dataset

Crop/Weed Field Image Dataset

deepweeds

A Multiclass Weed Species Image Dataset for Deep Learning

dl-colab-notebooks

Try out deep learning models online on Google Colab

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mask-rcnn-traffic

Sample project showing how to train and evaluate Mask R-CNN

mask_rcnn_tensor_flow_2

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

master

master

models

Models and examples built with TensorFlow

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

object_recognition_detection

py

Repository to store sample python programs for python learning

review_object_detection_metrics

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

web4sciapps

Examples on using web frameworks for making scientific applications.

webtugas

yolact

A simple, fully convolutional model for real-time instance segmentation.