Hanekamp Image Dataset
Versions
2022-02-18 9:09pm
v11
Feb 18, 2022
2022-02-18 9:09pm
v10
Feb 18, 2022
2022-02-18 9:05pm
v9
Feb 18, 2022
2022-02-18 9:04pm
v8
Feb 18, 2022
hanekamp7
v7
Feb 11, 2022
hanekamp6
v6
Feb 11, 2022
hanekamp5
v5
Feb 11, 2022
hanekamp4
v4
Feb 11, 2022
hanekamp3
v3
Feb 11, 2022
hanekamp2
v2
Feb 9, 2022
hanekamp1
v1
Feb 9, 2022
v5
hanekamp5
Generated on Feb 11, 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.
216 Total Images
View All Images
Dataset Split
Train Set 88%
189Images
Valid Set 8%
18Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Blur: Up to 7.5px
Noise: Up to 3% of pixels
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