bboxtest2 Image Dataset
Versions
2022-11-30 7:18pm
v11
Dec 1, 2022
2022-11-23 4:26pm
v10
Nov 23, 2022
2022-11-23 3:09pm
v9
Nov 23, 2022
2022-11-08 6:51pm
v8
Nov 8, 2022
2022-11-02 6:22pm
v7
Nov 2, 2022
2022-10-06 7:55pm
v6
Oct 6, 2022
2022-10-06 7:48pm
v5
Oct 6, 2022
2022-10-05 9:27pm
v4
Oct 6, 2022
2022-10-05 5:39pm
v3
Oct 5, 2022
2022-10-05 5:29pm
v2
Oct 5, 2022
2022-10-04 6:35pm
v1
Oct 4, 2022
v11
2022-11-30 7:18pm
Generated on Dec 1, 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.
3462 Total Images
View All Images
Dataset Split
Train Set 88%
3045Images
Valid Set 11%
374Images
Test Set 1%
43Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 3% of pixels
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