Dataset Versions
Versions
2024-05-11 2:14pm
v10
· 7 months ago
2024-04-22 1:54pm
v9
· 7 months ago
2024-04-21 2:27pm
v8
· 7 months ago
2024-04-20 11:16pm
v7
· 7 months ago
2024-04-20 10:36pm
v6
· 7 months ago
2024-04-18 2:51pm
v5
· 7 months ago
2024-04-18 2:03pm
v4
· 7 months ago
2024-04-18 10:50am
v3
· 7 months ago
2024-04-17 10:44am
v2
· 7 months ago
2024-04-16 10:13am
v1
· 7 months ago
v8
2024-04-21 2:27pm
Generated on Apr 21, 2024
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.
8355 Total Images
View All Images
Dataset Split
Train Set 88%
7323Images
Valid Set 8%
693Images
Test Set 4%
339Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Blur: Up to 1.5px