FCOS: Fully Convolutional One-stage Object Detection is an anchor-free (anchorless) object detector. It solves object detection problems in a per-pixel prediction fashion, similar to segmentation. ...
The field of object detection is coming across a new YOLO model release every few months. Although reading the paper should be the first step towards exploring the model, we can evaluate the model ...
EXIF data contains information on image and audio files. EXIF stands for Exchangeable Image File Format. It is required by image viewers or audio players to sort the files, display thumbnails, load ...
Visualizing training data is often essential to design a good Machine Learning model. However, generally feature dimensions are much more than three. So to get visual insight, dimensionality reduction ...
Anchor free object detection is powerful because of its speed and generalizability to other computer vision tasks. "CenterNet: Object as Points" is one of the milestones in the anchor-free object ...
YOLOv7 Pose was introduced in the YOLOv7 repository a few days after the initial release in July ‘22. It is a single-stage, multi-person pose estimation model. YOLOv7 pose is unique, as it deviates ...
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