Dataset Versions
Versions
end yarab
v10
· 7 months ago
2024-07-07 5:57am
v9
· 7 months ago
the end
v8
· 8 months ago
2024-06-30 11:10am
v7
· 8 months ago
data edit
v6
· 9 months ago
2024-05-20 1:16am
v5
· 9 months ago
new data
v4
· 9 months ago
2024-05-17 6:19pm
v3
· 9 months ago
dataset
v2
· 9 months ago
2024-05-17 4:20pm
v1
· 9 months ago
v8
the end
Generated on Jun 30, 2024
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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29416 Total Images
View All Images
Dataset Split
Train Set 88%
25740Images
Valid Set 8%
2452Images
Test Set 4%
1224Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: cubesat-1U
Resize: Fill (with center crop) in 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -11% and +11%
Mosaic: Applied
Bounding Box: Flip: Horizontal