Auto docking Image Dataset
Versions
2023-05-09 4:47am
v11
May 9, 2023
2023-04-22 8:38am
v10
Apr 22, 2023
2023-04-11 6:34am
v9
Apr 11, 2023
2023-04-11 6:03am
v8
Apr 11, 2023
2023-04-11 1:36am
v7
Apr 10, 2023
2023-04-11 1:30am
v6
Apr 10, 2023
2023-03-08 3:42am
v5
Mar 8, 2023
2023-03-08 3:38am
v4
Mar 8, 2023
2023-03-08 3:35am
v3
Mar 8, 2023
2023-03-08 2:50am
v2
Mar 8, 2023
v9
2023-04-11 6:34am
Generated on Apr 11, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
4069 Total Images
View All Images
Dataset Split
Train Set 91%
3687Images
Valid Set 6%
231Images
Test Set 4%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 3 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -63% and +63%
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