Dataset Versions
Versions
2024-02-19 4:38am
v28
· a year ago
2024-02-19 4:37am
v27
· a year ago
2024-02-19 4:37am
v26
· a year ago
2024-02-19 4:37am
v25
· a year ago
2024-02-19 4:37am
v24
· a year ago
2024-02-19 4:36am
v23
· a year ago
2024-02-19 4:35am
v22
· a year ago
2024-02-19 4:30am
v21
· a year ago
2024-02-19 4:28am
v20
· a year ago
2024-02-19 4:23am
v19
· a year ago
2024-02-19 4:18am
v18
· a year ago
2024-02-19 4:16am
v17
· a year ago
2024-02-19 4:16am
v16
· a year ago
2024-02-19 4:15am
v15
· a year ago
2024-02-19 4:14am
v14
· a year ago
2024-02-19 4:13am
v13
· a year ago
2024-02-19 4:13am
v12
· a year ago
2024-02-19 4:12am
v11
· a year ago
2024-02-19 4:09am
v10
· a year ago
2024-02-19 4:03am
v9
· a year ago
2024-02-19 3:57am
v8
· a year ago
2024-02-19 3:56am
v7
· a year ago
2024-02-19 3:52am
v6
· a year ago
2024-02-19 3:47am
v5
· a year ago
2024-02-19 3:45am
v4
· a year ago
2024-02-19 3:41am
v3
· a year ago
2024-02-15 7:34am
v2
· a year ago
2024-02-15 7:08am
v1
· a year ago
v28
2024-02-19 4:38am
Generated on Feb 18, 2024
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.
3 Total Images
View All Images
Dataset Split
Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -28% and +28%
Cutout: 4 boxes with 29% size each