Dataset Versions
Versions
2023-12-22 1:09am
v17
· a year ago
2023-12-20 1:35am
v16
· a year ago
2023-12-05 10:36pm
v14
· a year ago
First dataset to train model
v11
· a year ago
2023-12-04 7:50pm
v8
· a year ago
2023-12-04 7:47pm
v7
· a year ago
2023-12-04 7:39pm
v6
· a year ago
2023-12-04 7:31pm
v5
· a year ago
2023-11-18 12:45am
v3
· a year ago
v11
First dataset to train model
Generated on Dec 4, 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.
1931 Total Images
View All Images
Dataset Split
Train Set 89%
1719Images
Valid Set 11%
212Images
Test Set %
0Images
Preprocessing
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 12% of pixels
Cutout: 25 boxes with 3% size each