Dataset Versions
Versions
2022-09-16 4:11pm
v40
· 2 years ago
2022-09-16 4:10pm
v39
· 2 years ago
2022-09-16 4:10pm
v38
· 2 years ago
2022-09-16 4:09pm
v37
· 2 years ago
2022-09-16 4:08pm
v36
· 2 years ago
2022-09-16 4:07pm
v35
· 2 years ago
2022-09-16 4:07pm
v34
· 2 years ago
2022-09-16 4:06pm
v33
· 2 years ago
2022-09-16 4:06pm
v32
· 2 years ago
2022-09-16 4:05pm
v31
· 2 years ago
2022-09-16 4:05pm
v30
· 2 years ago
2022-09-16 4:04pm
v29
· 2 years ago
2022-09-16 4:04pm
v28
· 2 years ago
2022-09-16 4:04pm
v27
· 2 years ago
2022-08-24 10:33pm
v24
· 2 years ago
2022-08-24 10:32pm
v23
· 2 years ago
2022-08-24 10:31pm
v22
· 2 years ago
2022-08-24 10:31pm
v21
· 2 years ago
2022-08-24 10:30pm
v20
· 2 years ago
2022-08-24 10:29pm
v19
· 2 years ago
2022-08-24 10:28pm
v18
· 2 years ago
2022-08-24 10:26pm
v17
· 2 years ago
2022-08-24 10:25pm
v16
· 2 years ago
2022-08-24 10:25pm
v15
· 2 years ago
2022-08-24 10:24pm
v14
· 2 years ago
2022-08-24 10:23pm
v13
· 2 years ago
2022-08-24 10:22pm
v12
· 2 years ago
2022-08-24 10:17pm
v11
· 2 years ago
2022-08-24 10:16pm
v10
· 2 years ago
2022-08-24 10:16pm
v9
· 2 years ago
2022-08-24 10:15pm
v8
· 2 years ago
2022-08-24 10:11pm
v4
· 2 years ago
2022-08-24 10:00pm
v1
· 2 years ago
v35
2022-09-16 4:07pm
Generated on Sep 16, 2022
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.
225 Total Images
View All Images
Dataset Split
Train Set 100%
225Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical