Dataset Versions
Versions
2023-09-16 9:14pm
v26
· a year ago
2023-09-16 8:14pm
v25
· a year ago
2023-09-07 1:02am
v24
· a year ago
2023-09-06 5:23pm
v23
· a year ago
2023-09-06 5:04pm
v22
· a year ago
2023-09-06 2:10pm
v21
· a year ago
2023-09-06 11:42am
v20
· a year ago
2023-09-06 1:38am
v19
· a year ago
2023-09-06 1:16am
v18
· a year ago
2023-09-06 1:07am
v17
· a year ago
2023-09-06 12:51am
v16
· a year ago
2023-09-06 12:22am
v15
· a year ago
2023-09-06 12:22am
v14
· a year ago
2023-09-06 12:20am
v13
· a year ago
2023-09-05 11:54pm
v12
· a year ago
2023-09-05 12:47am
v11
· a year ago
2023-09-05 12:35am
v10
· a year ago
2023-09-05 12:18am
v9
· a year ago
2023-09-05 12:00am
v8
· a year ago
2023-09-04 11:38pm
v7
· a year ago
2023-09-04 1:18am
v6
· a year ago
2023-09-04 12:33am
v5
· a year ago
2023-09-04 12:19am
v4
· a year ago
2023-09-03 11:03pm
v3
· a year ago
2023-09-03 10:07pm
v2
· a year ago
2023-09-03 9:49pm
v1
· a year ago
v3
2023-09-03 11:03pm
Generated on Sep 3, 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.
30 Total Images
View All Images
Dataset Split
Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Bounding Box: Rotation: Between -15° and +15°