YOLO-Coco-Dataset-Custom-Classes-Extractor
Deep-SORT-YOLOv4
Our great sponsors
YOLO-Coco-Dataset-Custom-Classes-Extractor | Deep-SORT-YOLOv4 | |
---|---|---|
1 | 1 | |
23 | 492 | |
- | - | |
0.0 | 0.0 | |
almost 3 years ago | about 3 years ago | |
Python | Python | |
- | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
YOLO-Coco-Dataset-Custom-Classes-Extractor
-
Download specific classes from the Coco Dataset in the Yolo format!
GitHub Repo: https://github.com/KaranJagtiani/YOLO-Coco-Dataset-Custom-Classes-Extractor
Deep-SORT-YOLOv4
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
labelme2coco - How to create custom COCO data set for instance segmentation
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
MAX-Object-Detector - Localize and identify multiple objects in a single image.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
mmdetection - OpenMMLab Detection Toolbox and Benchmark
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
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.
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
keras-yolo3 - Training and Detecting Objects with YOLO3