From e400d2f0d78f783814a61f9f12ab26f6fc9749a7 Mon Sep 17 00:00:00 2001 From: choowilson Date: Mon, 11 Nov 2019 11:15:57 +0800 Subject: [PATCH 1/2] include object detection description in readme Signed-off-by: choowilson --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 0d21d15f4..3bfca00db 100644 --- a/README.md +++ b/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/TinyYOLO](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 From 4baa65c4ecb61134707dd7d612f3ea226d7a11f4 Mon Sep 17 00:00:00 2001 From: William Ardianto <51309498+willardsm@users.noreply.github.com> Date: Mon, 11 Nov 2019 11:26:54 +0800 Subject: [PATCH 2/2] minor name change --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3bfca00db..38f8e7527 100644 --- a/README.md +++ b/README.md @@ -44,7 +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/TinyYOLO](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. +- [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