Dataset Versions
Versions
2023-07-25 3:02pm
v23
· a year ago
2023-07-05 10:14am
v22
· a year ago
2023-07-01 12:31pm
v21
· a year ago
2023-06-30 8:59am
v20
· a year ago
2023-06-29 9:00pm
v19
· a year ago
2023-06-28 6:33pm
v17
· a year ago
2023-06-27 5:30pm
v16
· a year ago
2023-06-27 5:06pm
v15
· a year ago
2023-06-24 6:58am
v14
· a year ago
2023-06-18 4:20pm
v13
· 2 years ago
2023-06-18 12:30am
v12
· 2 years ago
2023-06-14 10:35pm
v11
· 2 years ago
2023-06-11 5:17pm
v10
· 2 years ago
2023-06-10 12:56pm
v8
· 2 years ago
2023-06-08 10:56pm
v7
· 2 years ago
2023-06-07 11:58pm
v6
· 2 years ago
2023-06-07 11:25pm
v5
· 2 years ago
2023-06-06 10:44am
v4
· 2 years ago
2023-06-06 10:34am
v3
· 2 years ago
2023-06-04 8:16pm
v2
· 2 years ago
2023-06-04 5:35pm
v1
· 2 years ago
v20
2023-06-30 8:59am
Generated on Jun 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
Choose another format.
1389 Total Images
View All Images
Dataset Split
Train Set 90%
1247Images
Valid Set 5%
72Images
Test Set 5%
70Images
Preprocessing
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical