Bounding Boxes Collection

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🔮Psychic

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“Image augmentation for machine learning experiments.”

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🔮Psychic

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“Most popular metrics used to evaluate object detection algorithms.”

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⚔️Fighting

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“📽 Highly Optimized 2D / 3D Graphics Math (glm) for C”

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🔮Psychic

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“Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.”

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🔮Psychic

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“HAnd Gesture Recognition Image Dataset”

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🔮Psychic

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“Label images and video for Computer Vision applications”

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🔮Psychic

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“A lightweight tool for labeling 3D bounding boxes in point clouds.”

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🔥Fire

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“Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.”

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🔮Psychic

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“Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.”

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🔮Psychic

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“Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering”

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🔥Fire

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“Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.”

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⚡Electric

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“Create image annotations. Classify, tag images with polygons, bounding boxes or points.”

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🔮Psychic

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“Make drawing and labeling bounding boxes a piece of cake”

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📦Normal

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“Vehicle detection using YOLO in Keras runs at 21FPS”

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🔮Psychic

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“Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo. ”

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🔮Psychic

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“Weakly Supervised Learning for Findings Detection in Medical Images”

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⚡Electric

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“Ybat - YOLO BBox Annotation Tool”

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🔮Psychic

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“This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.”