Train a Custom Object Detection Classifier for Gun Detection using Tensorflow
Blog: https://www.linkedin.com/pulse/train-custom-object-detection-classifier-gun-using-balakrishnan/
Code: https://github.com/KarthikBalakrishnan11/Gun-Detector-using-Tensorflow
#machinelearning #objectdetection #tensorflow #detection
@pythonicAI
  
  Blog: https://www.linkedin.com/pulse/train-custom-object-detection-classifier-gun-using-balakrishnan/
Code: https://github.com/KarthikBalakrishnan11/Gun-Detector-using-Tensorflow
#machinelearning #objectdetection #tensorflow #detection
@pythonicAI
GitHub
  
  KarthikBalakrishnan11/Gun-Detector-using-Tensorflow
  Train a Custom Object Detection Classifier for Gun Detection using Tensorflow - KarthikBalakrishnan11/Gun-Detector-using-Tensorflow
  Orientation Aware Object Detection with Application to Firearms
To address the problems in axis-aligned bounding boxes like clutter and redundant features in the background, we propose orientation aware design. Our proposed method (OAOD) separates the foreground information from background information effectively, yields more accuracy than axis-aligned bounding boxes based algorithms (Faster RCNN, SSD, Yolo, DSSD). Without initializing oriented proposals, we present multi-stage detector training using angle information only along with location points and class labels as ground truth. OAOD is evidently more effective in case of a long object like Rifle in firearms.
DATASET: Link
Trained Model: Link
The paper is available on arXiv: Link
https://im.itu.edu.pk/orientation-aware-firearms-detection/
https://github.com/makhtar17004/orientation-aware-firearm-detection
#machinelearning #deeplearning #artificialintelligence #detection
@pythonicAI
  
  To address the problems in axis-aligned bounding boxes like clutter and redundant features in the background, we propose orientation aware design. Our proposed method (OAOD) separates the foreground information from background information effectively, yields more accuracy than axis-aligned bounding boxes based algorithms (Faster RCNN, SSD, Yolo, DSSD). Without initializing oriented proposals, we present multi-stage detector training using angle information only along with location points and class labels as ground truth. OAOD is evidently more effective in case of a long object like Rifle in firearms.
DATASET: Link
Trained Model: Link
The paper is available on arXiv: Link
https://im.itu.edu.pk/orientation-aware-firearms-detection/
https://github.com/makhtar17004/orientation-aware-firearm-detection
#machinelearning #deeplearning #artificialintelligence #detection
@pythonicAI
Google Docs
  
  Firearms DATASET Request Form
  Please (1) fill out this form (2) Read the License Agreement. Once all requirements are fulfilled, we will send you dataset link.
Thanks!
  Thanks!
تیم هوش مصنوعی فیسبوک پلتفرم
#Detectron
رو برای آبجکت دیتکشن منتشر کرد، که قدرتش رو از بهترین الگوریتمهای این حوزه میگیره.
https://github.com/facebookresearch/Detectron
#artificialintelligence #detection
@pythonicAI
  
  #Detectron
رو برای آبجکت دیتکشن منتشر کرد، که قدرتش رو از بهترین الگوریتمهای این حوزه میگیره.
https://github.com/facebookresearch/Detectron
#artificialintelligence #detection
@pythonicAI
GitHub
  
  GitHub - facebookresearch/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like…
  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. - facebookresearch/Detectron
  