Dataset Versions
Versions
Finalize 5
v35
· 3 years ago
Finalize4
v33
· 3 years ago
Finalize3
v32
· 3 years ago
Finalize
v31
· 3 years ago
Finalize1
v30
· 3 years ago
No-aug
v29
· 3 years ago
Flip
v28
· 3 years ago
Brightness 20-
v27
· 3 years ago
Brightness 15-
v26
· 3 years ago
Brightness 10-
v25
· 3 years ago
Mosaic
v23
· 3 years ago
Cutout 15
v22
· 3 years ago
Cutout 10
v21
· 3 years ago
Cutout 5
v20
· 3 years ago
Noise 4-
v19
· 3 years ago
Noise 2-
v18
· 3 years ago
Noise 1-
v17
· 3 years ago
Blur 8x
v16
· 3 years ago
Blur 4x
v15
· 3 years ago
Blur 2x
v14
· 3 years ago
Shear 5-
v11
· 3 years ago
Zoom 1.21x - 1.77x
v10
· 3 years ago
Zoom 1.1x - 1.61x
v9
· 3 years ago
Zoom 1x - 1.46x
v8
· 3 years ago
Zoom 1x - 1.33x
v7
· 3 years ago
Zoom 1x - 1.21x
v6
· 3 years ago
Zoom 1x - 1.1x
v5
· 3 years ago
Rotation 16-
v4
· 3 years ago
Rotation 8-
v3
· 3 years ago
Rotation 4-
v2
· 3 years ago
Rotation 2-
v1
· 3 years ago
v32
Finalize3
Generated on Nov 24, 2021
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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2342 Total Images
View All Images
Dataset Split
Train Set 87%
2049Images
Valid Set 13%
293Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Cutout: 5 boxes with 12% size each
Mosaic: Applied