Dataset Versions
Versions
2024-07-12 4:59am
v27
· 4 months ago
N-datasets
v26
· 4 months ago
2024-07-10 11:54am
v25
· 4 months ago
2024-07-10 11:54am
v24
· 4 months ago
2024-07-10 11:53am
v23
· 4 months ago
2024-07-10 11:53am
v22
· 4 months ago
2024-07-10 11:53am
v21
· 4 months ago
2024-07-10 11:52am
v20
· 4 months ago
2024-07-10 11:52am
v19
· 4 months ago
2024-07-10 11:52am
v18
· 4 months ago
2024-07-10 11:51am
v17
· 4 months ago
2024-07-10 11:51am
v16
· 4 months ago
2024-07-10 11:51am
v15
· 4 months ago
2024-07-10 11:51am
v14
· 4 months ago
2024-07-10 11:51am
v13
· 4 months ago
2024-07-10 11:51am
v12
· 4 months ago
2024-07-10 11:51am
v11
· 4 months ago
2024-07-10 11:51am
v10
· 4 months ago
2024-07-10 11:47am
v9
· 4 months ago
2024-06-10 1:19pm
v8
· 5 months ago
2024-06-07 11:40am
v7
· 5 months ago
2024-06-07 10:04am
v6
· 5 months ago
2024-06-05 12:25pm
v5
· 6 months ago
2024-05-23 2:46pm
v4
· 6 months ago
2024-05-23 1:14pm
v3
· 6 months ago
v8
2024-06-10 1:19pm
Generated on Jun 10, 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.
393 Total Images
View All ImagesDataset Split
Train Set 69%
271Images
Valid Set 22%
85Images
Test Set 9%
37Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
No augmentations were applied.