Dataset Versions
Versions
2023-07-06 1:06pm
v14
· a year ago
2023-07-05 6:01pm
v13
· a year ago
2023-07-05 4:56pm
v12
· a year ago
2023-07-05 4:46pm
v11
· a year ago
2023-07-05 4:33pm
v10
· a year ago
2023-07-05 4:26pm
v9
· a year ago
2023-07-05 4:18pm
v8
· a year ago
2023-07-05 4:04pm
v7
· a year ago
2023-07-04 2:03pm
v6
· a year ago
2023-07-03 5:29pm
v5
· a year ago
2023-07-03 5:08pm
v4
· a year ago
Train_with_Augmentation_Jul3
v3
· a year ago
Train_v1
v2
· a year ago
2023-06-20 7:05pm
v1
· a year ago
v8
2023-07-05 4:18pm
Generated on Jul 5, 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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2106 Total Images
View All Images
Dataset Split
Train Set 86%
1809Images
Valid Set 13%
270Images
Test Set 1%
27Images
Preprocessing
Auto-Orient: Applied
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Brightness: Between -34% and +34%
Cutout: 5 boxes with 25% size each
Bounding Box: Exposure: Between -41% and +41%