Dataset Versions
Versions
2024-01-10 9:31pm
v11
· 10 months ago
2024-01-03 3:31am
v10
· 10 months ago
2023-12-27 9:45pm
v9
· a year ago
2023-09-26 10:28am
v8
· a year ago
2023-09-17 11:03pm
v7
· a year ago
2023-09-17 10:08pm
v6
· a year ago
2023-09-17 7:24pm
v5
· a year ago
2023-09-17 7:15pm
v4
· a year ago
2023-08-17 1:25pm
v3
· a year ago
2023-08-10 2:06pm
v2
· a year ago
2023-08-09 10:48pm
v1
· a year ago
v5
2023-09-17 7:24pm
Generated on Sep 17, 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.
1638 Total Images
View All Images
Dataset Split
Train Set 87%
1431Images
Valid Set 8%
135Images
Test Set 4%
72Images
Preprocessing
Auto-Orient: Applied
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels