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Aerial images(5000x5000)
Object Detection
Overview
Images
159
Dataset
25
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2022-10-28 12:34pm
v25
·
2 years ago
2022-10-28 12:17pm
v24
·
2 years ago
2022-10-28 8:18am
v23
·
2 years ago
2022-10-28 6:41am
v22
·
2 years ago
2022-10-27 9:18pm
v21
·
2 years ago
2022-10-27 8:18pm
v20
·
2 years ago
2022-10-27 7:00pm
v19
·
2 years ago
2022-10-27 2:16pm
v18
·
2 years ago
2022-10-27 11:56am
v17
·
2 years ago
2022-10-27 11:29am
v16
·
2 years ago
2022-10-27 10:30am
v15
·
2 years ago
2022-10-27 10:09am
v14
·
2 years ago
2022-10-27 9:59am
v13
·
2 years ago
2022-10-27 9:56am
v12
·
2 years ago
2022-10-27 9:50am
v11
·
2 years ago
2022-10-27 9:47am
v10
·
2 years ago
2022-10-27 9:36am
v9
·
2 years ago
2022-10-27 9:31am
v8
·
2 years ago
2022-10-27 9:23am
v7
·
2 years ago
2022-10-27 9:23am
v6
·
2 years ago
2022-10-27 8:53am
v5
·
2 years ago
2022-10-26 5:39pm
v4
·
2 years ago
2022-10-26 4:44pm
v3
·
2 years ago
2022-10-26 10:00am
v2
·
2 years ago
2022-10-25 1:47pm
v1
·
2 years ago
v25
2022-10-28 12:34pm
Generated on Oct 28, 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
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275
Total Images
View All Images
Dataset Split
Train Set
78%
214
Images
Valid Set
14%
39
Images
Test Set
8%
22
Images
Preprocessing
Auto-Orient:
Applied
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
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