Tensorflow detection model zoo : [tf-model zoo]
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.
YOLO: Real-Time Object Detection and Tracking
How to train a YOLOv3 model on custom images - [Link]
-
YOLOv3 + Deep_SORT - Object Counter - [Link]
-
YOLOv3 + SORT - Person Counter - [Link]
Darknet_ROS: Real-Time Object Detection and Rotation Grasp Detection With ROS
-
YOLOv3 + ROS Kinetic - For small Custom Data - [Link]
-
YOLOv3 + ROS Melodic - Robot Grasp Detection - [Link]
-
YOLOv3 + OpenCV + ROS Melodic - Rotation Object Detection - [Link]
SSD: Single Shot MultiBox Detector
-
How to train a SSD model on own images - [Link]
R-CNN: Region-based methods
Fast R-CNN / Faster R-CNN / Mask R-CNN
How to train a Mask R-CNN model on own images - [Link]
-
Mask R-CNN + ROS Kinetic - [Link]
This project is ROS package of Mask R-CNN algorithm for object detection and segmentation.
-
COCO dataset and Pascal VOC dataset - [Link]
-
How to get it working on the COCO dataset coco2voc - [Link]
-
Convert Dataset2Yolo - COCO / VOC - [Link]
