Dataset Versions
Versions
2023-10-07 11:19pm
v22
· a year ago
2023-09-30 9:04pm
v20
· a year ago
2023-09-29 8:37pm
v19
· a year ago
2023-09-22 3:51pm
v18
· a year ago
2023-09-04 9:10am
v17
· a year ago
2023-09-04 9:08am
v16
· a year ago
2023-09-04 8:59am
v15
· a year ago
2023-09-02 11:04pm
v14
· a year ago
2023-09-02 11:03pm
v13
· a year ago
2023-09-02 10:54pm
v12
· a year ago
2023-07-10 10:00pm
v11
· a year ago
2023-04-26 8:05pm
v10
· 2 years ago
2023-04-26 6:27pm
v9
· 2 years ago
2023-04-25 6:01pm
v8
· 2 years ago
2023-04-25 5:13pm
v7
· 2 years ago
2023-04-25 5:06pm
v6
· 2 years ago
2023-04-25 4:49pm
v5
· 2 years ago
2023-04-25 2:24pm
v4
· 2 years ago
2023-04-25 2:05pm
v3
· 2 years ago
2023-04-25 1:56pm
v2
· 2 years ago
2023-04-22 9:34pm
v1
· 2 years ago
v5
2023-04-25 4:49pm
Generated on Apr 25, 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.
500 Total Images
View All Images
Dataset Split
Train Set 89%
444Images
Valid Set 8%
38Images
Test Set 4%
18Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -21% and +21%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 11 boxes with 12% size each