YOLO-Coco-Dataset-Custom-Classes-Extractor VS MAX-Object-Detector

Compare YOLO-Coco-Dataset-Custom-Classes-Extractor vs MAX-Object-Detector and see what are their differences.

YOLO-Coco-Dataset-Custom-Classes-Extractor

Get specific classes from the Coco Dataset with annotations for the Yolo Object Detection model for building custom object detection models. (by KaranJagtiani)
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YOLO-Coco-Dataset-Custom-Classes-Extractor MAX-Object-Detector
1 1
23 285
- -0.7%
0.0 0.0
almost 3 years ago 11 months ago
Python Python
- Apache License 2.0
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YOLO-Coco-Dataset-Custom-Classes-Extractor

Posts with mentions or reviews of YOLO-Coco-Dataset-Custom-Classes-Extractor. We have used some of these posts to build our list of alternatives and similar projects.

MAX-Object-Detector

Posts with mentions or reviews of MAX-Object-Detector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-04.
  • Deploy a Cloud Native Application to Code Engine in 5 Easy Steps!
    2 projects | dev.to | 4 May 2021
    For purposes of this Tutorial Tuesday, I'm going to show you how to deploy a Cloud native application to IBM Cloud Code Engine from both a container image and using Code Engine's source-to-image, with the IBM CODAIT team's Max Object Detector in 5 easy steps!

What are some alternatives?

When comparing YOLO-Coco-Dataset-Custom-Classes-Extractor and MAX-Object-Detector you can also consider the following projects:

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

MAX-OCR - MAX Optical Character Recognition

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.

labelme2coco - How to create custom COCO data set for instance segmentation

CodeEngine - Samples for using Code Engine

mmdetection - OpenMMLab Detection Toolbox and Benchmark

MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.

review_object_detection_metrics - 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.