Dataset Versions
Versions
2023-10-01 1:50am
v36
· a year ago
2023-07-15 10:46pm
v35
· a year ago
2023-07-15 10:43pm
v34
· a year ago
2023-07-01 6:47am
v33
· a year ago
2023-06-11 7:28pm
v32
· a year ago
2023-06-11 7:17pm
v31
· a year ago
2023-06-11 7:06pm
v30
· a year ago
2023-03-16 11:29am
v29
· 2 years ago
2023-03-02 7:48am
v28
· 2 years ago
2023-03-02 3:08am
v27
· 2 years ago
2023-03-02 3:07am
v26
· 2 years ago
v36
2023-10-01 1:50am
Generated on Sep 30, 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.
Other Formats
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4160 Total Images
View All Images
Dataset Split
Train Set 92%
3840Images
Valid Set 4%
160Images
Test Set 4%
160Images
Preprocessing
Resize: Stretch to 320x320
Modify Classes: 16 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels
Bounding Box: Blur: Up to 2.5px