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aerial-maritime/22 (latest)
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Aerial Maritime
Object Detection
Overview
Images
49
Dataset
18
Model
6
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2022-08-19 12:52pm
v24
·
2 years ago
2022-08-12 11:04am
v23
·
2 years ago
2048
v22
·
2 years ago
1024
v21
·
2 years ago
416
v20
·
2 years ago
v2
v19
·
3 years ago
test-secretless-train2
v18
·
3 years ago
test-secretless-train
v17
·
3 years ago
post-seg
v16
·
3 years ago
paperspace
v15
·
4 years ago
black_pad_one_pixel
v14
·
4 years ago
2020-12-16 5:17pm
v13
·
4 years ago
2020-12-13 8:11pm
v12
·
4 years ago
2x2-tile-augs
v11
·
4 years ago
raw
v10
·
4 years ago
tiled
v9
·
4 years ago
boats
v8
·
4 years ago
faster-rcnn-800x1333
v4
·
4 years ago
v17
test-secretless-train
Generated on Jun 2, 2022
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Dataset
Popular Download Formats
YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
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.
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49
Total Images
View All Images
Dataset Split
Train Set
69%
34
Images
Valid Set
20%
10
Images
Test Set
10%
5
Images
Preprocessing
Resize:
Fit (black edges) in 416x416
Augmentations
No augmentations were applied.
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