Dataset Versions
Versions
2023-09-05 12:01am
v42
· a year ago
v13
v41
· a year ago
v12
v40
· a year ago
v11
v39
· a year ago
v8
v38
· a year ago
v10
v37
· a year ago
v9
v36
· a year ago
v7
v32
· a year ago
v6
v31
· a year ago
v5
v30
· a year ago
v4
v29
· a year ago
v3
v27
· a year ago
v2
v25
· a year ago
v1
v24
· a year ago
base
v13
· a year ago
2023-08-29 10:34pm
v9
· a year ago
2023-08-29 7:56am
v2
· a year ago
v42
2023-09-05 12:01am
Generated on Sep 4, 2023
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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1353 Total Images
View All Images
Dataset Split
Train Set 88%
1185Images
Valid Set 8%
111Images
Test Set 4%
57Images
Preprocessing
Resize: Fit (white edges) in 1500x1500
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 10 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±17° Horizontal, ±17° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 10% of pixels