Dataset Versions
Versions
2023-07-10 7:39am
v24
· a year ago
2023-07-09 6:11pm
v23
· a year ago
2023-07-09 6:09pm
v22
· a year ago
2023-07-07 11:04pm
v21
· a year ago
2023-07-07 8:25am
v20
· a year ago
2023-07-05 2:24am
v19
· a year ago
2023-06-16 8:38pm
v18
· a year ago
2023-05-31 6:10am
v17
· 2 years ago
2023-05-30 11:49pm
v16
· 2 years ago
2023-05-30 9:15pm
v15
· 2 years ago
2023-05-29 10:42pm
v14
· 2 years ago
2023-05-29 8:02pm
v13
· 2 years ago
2023-05-29 6:30pm
v12
· 2 years ago
2023-05-29 10:34am
v11
· 2 years ago
2023-05-27 3:13pm
v10
· 2 years ago
2023-05-27 3:04pm
v9
· 2 years ago
2023-05-27 2:45pm
v8
· 2 years ago
2023-05-27 2:36pm
v7
· 2 years ago
2023-05-23 3:25pm
v6
· 2 years ago
2023-05-23 3:23pm
v5
· 2 years ago
2023-05-22 7:44am
v4
· 2 years ago
2023-05-22 6:23am
v3
· 2 years ago
2023-05-21 1:54pm
v2
· 2 years ago
2023-05-20 11:08pm
v1
· 2 years ago
v12
2023-05-29 6:30pm
Generated on May 29, 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.
1872 Total Images
View All Images
Dataset Split
Train Set 89%
1664Images
Valid Set 6%
104Images
Test Set 6%
104Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%