Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# tensorflow-yolov4-tflite
|
| 2 |
[](LICENSE)
|
| 3 |
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language: en
|
| 3 |
+
tags:
|
| 4 |
+
- object detection
|
| 5 |
+
- computer vision
|
| 6 |
+
- darknet
|
| 7 |
+
- yolo
|
| 8 |
+
|
| 9 |
+
datasets:
|
| 10 |
+
- coco
|
| 11 |
+
- imagenette
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Yolov4
|
| 15 |
+
|
| 16 |
+
Yolo is an object detection system in real-time, introduced in [this paper](https://arxiv.org/abs/2004.10934), that recognizes various objects in a single enclosure. It identifies objects more rapidly and more precisely than other recognition systems. Three authors “Alexey Bochkovskiy, the Russian developer who built the YOLO Windows version”, “Chien-Yao Wang”, and “Hong-Yuan Mark Liao”, are accounted for in this work and the entire code is available on [Github](https://github.com/AlexeyAB/darknet).
|
| 17 |
+
|
| 18 |
+
This yolov4 library uses Tensorflow 2.0 and is available on. this [Github](https://github.com/hunglc007/tensorflow-yolov4-tflite).
|
| 19 |
+
|
| 20 |
# tensorflow-yolov4-tflite
|
| 21 |
[](LICENSE)
|
| 22 |
|