Dataset Versions
Versions
2023-06-08 10:41am
v11
· 2 years ago
2023-04-25 1:49pm
v10
· 2 years ago
2023-04-25 12:18pm
v9
· 2 years ago
2023-04-23 5:10pm
v8
· 2 years ago
2023-04-23 4:32pm
v7
· 2 years ago
2023-04-23 4:29pm
v6
· 2 years ago
2023-04-23 3:52pm
v5
· 2 years ago
2023-04-23 12:25pm
v4
· 2 years ago
2023-04-23 11:31am
v3
· 2 years ago
2023-04-23 10:39am
v1
· 2 years ago
v6
2023-04-23 4:29pm
Generated on Apr 23, 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.
370 Total Images
View All Images
Dataset Split
Train Set 85%
316Images
Valid Set 5%
20Images
Test Set 9%
34Images
Preprocessing
Resize: Stretch to 2048x2048
Tile: 2 rows x 2 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Bounding Box: Flip: Horizontal
Bounding Box: Blur: Up to 5px
Bounding Box: Noise: Up to 5% of pixels