Dataset Versions
Versions
2023-12-03 10:29pm
v10
· a year ago
2023-12-01 1:06am
v9
· a year ago
2023-11-04 9:51pm
v8
· a year ago
2023-11-04 9:21pm
v7
· a year ago
2023-09-23 4:13pm
v6
· a year ago
2023-09-23 2:56pm
v5
· a year ago
2023-09-23 12:25pm
v4
· a year ago
2023-09-22 10:34pm
v3
· a year ago
2023-09-22 9:35pm
v2
· a year ago
2023-09-22 9:21pm
v1
· a year ago
v7
2023-11-04 9:21pm
Generated on Nov 4, 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.
1413 Total Images
View All Images
Dataset Split
Train Set 93%
1308Images
Valid Set 4%
63Images
Test Set 3%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 7 boxes with 3% size each