Dataset Versions
Versions
2024-04-29 6:58am
v11
· 8 months ago
2024-04-28 8:08am
v10
· 8 months ago
2023-11-03 8:13am
v9
· a year ago
2023-05-02 11:35am
v8
· 2 years ago
2023-05-02 11:34am
v7
· 2 years ago
2023-05-01 2:38pm
v5
· 2 years ago
2023-04-26 11:59am
v4
· 2 years ago
2023-04-26 11:47am
v3
· 2 years ago
2023-04-25 9:09pm
v2
· 2 years ago
2023-04-25 1:21pm
v1
· 2 years ago
v3
2023-04-26 11:47am
Generated on Apr 26, 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.
1185 Total Images
View All Images
Dataset Split
Train Set 87%
1031Images
Valid Set 9%
104Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 2048x2048
Tile: 4 rows x 4 columns
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%