Dataset Versions
Versions
2023-04-24 9:16pm
v9
· 2 years ago
2023-04-24 8:30pm
v8
· 2 years ago
2023-04-24 8:28pm
v7
· 2 years ago
2023-04-24 5:51pm
v6
· 2 years ago
2023-04-24 5:13pm
v5
· 2 years ago
2023-02-28 1:13am
v4
· 2 years ago
2023-02-27 5:06pm
v3
· 2 years ago
2023-02-18 11:01pm
v2
· 2 years ago
2022-12-10 7:21pm
v1
· 2 years ago
v9
2023-04-24 9:16pm
Generated on Apr 24, 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.
6709 Total Images
View All ImagesDataset Split
Train Set 88%
5873Images
Valid Set 8%
557Images
Test Set 4%
279Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 52 remapped, 8 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 50% of images
Exposure: Between -21% and +21%
Blur: Up to 1.5px