Demo Image Dataset
Versions
2022-06-23 9:48am
v31
Jun 23, 2022
2022-06-23 8:39am
v30
Jun 23, 2022
2022-06-22 2:50pm
v29
Jun 22, 2022
2022-06-21 8:17pm
v27
Jun 21, 2022
2022-06-21 2:07pm
v26
Jun 21, 2022
2022-06-06 3:24pm
v25
Jun 6, 2022
2022-04-12 8:21pm
v24
Apr 12, 2022
2022-04-12 7:15pm
v23
Apr 12, 2022
2022-04-12 5:13pm
v22
Apr 12, 2022
2022-04-12 3:39pm
v21
Apr 12, 2022
2022-04-12 1:14pm
v20
Apr 12, 2022
2022-04-12 12:15pm
v19
Apr 12, 2022
2022-04-11 10:30pm
v18
Apr 11, 2022
2022-04-09 1:12pm
v17
Apr 9, 2022
2022-04-09 12:04pm
v16
Apr 9, 2022
2022-04-09 11:34am
v15
Apr 9, 2022
2022-04-09 11:02am
v14
Apr 9, 2022
2022-04-09 10:05am
v13
Apr 9, 2022
2022-04-09 9:12am
v12
Apr 9, 2022
2022-04-09 9:07am
v11
Apr 9, 2022
2022-04-09 8:25am
v10
Apr 9, 2022
2022-04-08 9:26pm
v9
Apr 8, 2022
2022-04-08 8:46pm
v8
Apr 8, 2022
2022-04-08 6:45pm
v7
Apr 8, 2022
2022-04-08 5:40pm
v6
Apr 8, 2022
2022-04-05 9:30am
v5
Apr 5, 2022
2022-04-05 8:32am
v4
Apr 5, 2022
2022-04-05 12:39am
v3
Apr 4, 2022
2022-04-01 8:25pm
v2
Apr 1, 2022
2022-04-01 6:43pm
v1
Apr 1, 2022
v15
2022-04-09 11:34am
Generated on Apr 9, 2022
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.
366 Total Images
View All Images
Dataset Split
Train Set 85%
312Images
Valid Set 7%
25Images
Test Set 8%
29Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -32° and +32°
Brightness: Between -25% and +25%
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom
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