Merge pull request #41 from skymindglobal/wc-updatereadme

include object detection description in readme

README.md

@@ -44,6 +44,7 @@ This repo contains codes for hands-on purpose during training session.
   Dog breed classification using custom model.
 - [ImageClassification/TransferLearning](https://github.com/skymindglobal/TrainingLabs/tree/imageclassification/dl4j-cv-labs/src/main/java/global/skymind/solution/classification/transferlearning):
   Dog breed classification using transfer learning.
+- [ObjectDetection/YOLO](https://github.com/skymindglobal/TrainingLabs/tree/master/dl4j-cv-labs/src/main/java/global/skymind/solution/object_detection): Avocado and Banana Object Detection model using Transfer learning of TinyYOLO and YOLOv2.
 - [segmentation/PretrainedUNET](https://github.com/skymindglobal/TrainingLabs/tree/segmentation/dl4j-cv-labs/src/main/java/global/skymind/solution/segmentation/PretrainedUNET): Semantic segmentation on the Cell nucleus image from Data Science Bowl 2018, using a Pre-trained U-Net.
 - [segmentation/ImageAugmentation](https://github.com/skymindglobal/TrainingLabs/tree/segmentation/dl4j-cv-labs/src/main/java/global/skymind/solution/segmentation/ImageAugmentation): (Optional) Image augmentation to increase samples, if required.
 #### Spark-Lab