Satellite Small Objects Image Dataset
Versions
2024-03-21 1:00am
v12
Mar 20, 2024
2024-02-23 5:21pm
v10
Feb 23, 2024
augmented 512x512
v9
Feb 21, 2024
augmented 1250x1250
v8
Feb 21, 2024
kaggle 1250x1250 yolov8 txt
v7
Dec 23, 2023
kaggle 512x512 yolov8 txt
v6
Dec 20, 2023
kaggle V1 CSV
v5
Dec 19, 2023
2023-12-20 1:31am
v4
Dec 19, 2023
2023-12-14 3:12am
v3
Dec 13, 2023
v4
2023-12-20 1:31am
Generated on Dec 19, 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.
5044 Total Images
View All Images
Dataset Split
Train Set 88%
4416Images
Valid Set 8%
420Images
Test Set 4%
208Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -21° and +21°
Saturation: Between -35% and +35%
Brightness: Between -30% and +30%
Exposure: Between -12% and +12%
Blur: Up to 2px
Noise: Up to 2% of pixels
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