Dataset Versions
Versions
2023-12-07 12:02am
v10
· a year ago
1020
v9
· a year ago
2023-08-30 1:29am
v8
· a year ago
2023-08-13 12-21am
v7
· a year ago
2023-08-11 11:04pm
v6
· a year ago
2023-08-06
v5
· a year ago
2023-07-30 3:27pm
v4
· a year ago
v3
v3
· a year ago
2023-07-27 11:48pm
v2
· a year ago
2023-07-18 12:03am
v1
· a year ago
v10
2023-12-07 12:02am
Generated on Dec 6, 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.
7254 Total Images
View All Images
Dataset Split
Train Set 92%
6657Images
Valid Set 8%
578Images
Test Set 0%
19Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Saturation: Between -30% and +30%
Brightness: Between -19% and +19%
Noise: Up to 2% of pixels
Cutout: 15 boxes with 2% size each