test Image Dataset
Versions
2021-10-14 10:55pm
v17
Oct 14, 2021
2021-10-14 9:10pm
v16
Oct 14, 2021
2021-10-14 8:51pm
v15
Oct 14, 2021
2021-10-14 6:32pm
v11
Oct 14, 2021
2021-10-14 5:56pm
v10
Oct 14, 2021
2021-10-14 5:43pm
v9
Oct 14, 2021
2021-10-14 3:49pm
v8
Oct 14, 2021
2021-10-14 3:34pm
v7
Oct 14, 2021
2021-10-14 3:25pm
v6
Oct 14, 2021
2021-10-13 10:47pm
v5
Oct 13, 2021
2021-10-13 10:46pm
v4
Oct 13, 2021
2021-10-13 10:45pm
v3
Oct 13, 2021
2021-10-13 10:29pm
v2
Oct 13, 2021
2021-10-13 10:25pm
v1
Oct 13, 2021
v17
2021-10-14 10:55pm
Generated on Oct 14, 2021
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
243 Total Images
View All ImagesDataset Split
Train Set 89%
216Images
Valid Set 9%
21Images
Test Set 2%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Hue: Between -16° and +16°
Saturation: Between -13% and +13%
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
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