Dataset Versions
Versions
2023-05-28 1:39pm
v9
· a year ago
2023-03-24 5:20pm
v8
· 2 years ago
2023-03-23 4:39pm
v7
· 2 years ago
2023-03-23 3:25pm
v6
· 2 years ago
2023-03-03 9:19pm
v5
· 2 years ago
2023-03-03 9:11pm
v4
· 2 years ago
2023-02-24 4:55pm
v3
· 2 years ago
2023-02-24 3:29am
v2
· 2 years ago
2023-02-17 6:36pm
v1
· 2 years ago
v6
2023-03-23 3:25pm
Generated on Mar 23, 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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5157 Total Images
View All Images
Dataset Split
Train Set 74%
3825Images
Valid Set 14%
702Images
Test Set 12%
630Images
Preprocessing
Tile: 3 rows x 3 columns
Modify Classes: 2 remapped, 1 dropped
Filter Null: Require at least 30% of images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Crop: 36% Minimum Zoom, 82% Maximum Zoom
Bounding Box: Blur: Up to 9.75px