Dataset Versions
Versions
2023-09-15 1:51pm
v11
· a year ago
2023-09-15 11:30am
v10
· a year ago
2023-08-25 10:56am
v9
· a year ago
2023-08-18 5:03pm
v8
· a year ago
2023-08-18 4:06pm
v7
· a year ago
2023-08-18 3:05pm
v6
· a year ago
2023-08-08 1:49pm
v5
· a year ago
2023-08-04 10:40am
v4
· a year ago
2023-08-04 10:38am
v3
· a year ago
2023-08-01 6:33pm
v2
· a year ago
2023-08-01 4:53pm
v1
· a year ago
v8
2023-08-18 5:03pm
Generated on Aug 18, 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.
397 Total Images
View All Images
Dataset Split
Train Set 79%
315Images
Valid Set 13%
51Images
Test Set 8%
31Images
Preprocessing
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -20% and +20%
Blur: Up to 3.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 10% size each