Aerial Maritime Image Dataset
Versions
2022-08-19 12:52pm
v24
Aug 19, 2022
2022-08-12 11:04am
v23
Aug 12, 2022
2048
v22
Jul 29, 2022
1024
v21
Jul 29, 2022
416
v20
Jul 29, 2022
v2
v19
Jun 7, 2022
test-secretless-train2
v18
Jun 2, 2022
test-secretless-train
v17
Jun 2, 2022
post-seg
v16
May 13, 2022
paperspace
v15
Jan 12, 2021
black_pad_one_pixel
v14
Dec 16, 2020
2020-12-16 5:17pm
v13
Dec 16, 2020
2020-12-13 8:11pm
v12
Dec 14, 2020
2x2-tile-augs
v11
Dec 4, 2020
raw
v10
Sep 6, 2020
tiled
v9
Jul 30, 2020
boats
v8
Jul 30, 2020
faster-rcnn-800x1333
v4
Jul 21, 2020
v8
boats
Generated on Jul 30, 2020
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.
275 Total Images
View All Images
Dataset Split
Train Set 73%
202Images
Valid Set 21%
57Images
Test Set 6%
16Images
Preprocessing
Auto-Orient: Applied
Tile: 5 rows x 5 columns
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.
Augmentations
No augmentations were applied.
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