Dataset Versions
Versions
2024-04-06 12:19pm
v27
· 10 months ago
2024-03-29 12:09pm
v26
· a year ago
2024-03-24 10:04pm
v25
· a year ago
2024-03-22 1:29am
v24
· a year ago
2024-03-21 11:27pm
v23
· a year ago
2024-03-19 2:35am
v22
· a year ago
2024-03-19 2:34am
v21
· a year ago
2024-03-19 2:33am
v20
· a year ago
2024-03-19 2:32am
v19
· a year ago
2024-03-19 2:31am
v18
· a year ago
2024-03-17 9:51pm
v17
· a year ago
2024-03-17 9:50pm
v16
· a year ago
2024-03-16 1:42am
v15
· a year ago
2024-03-15 10:04pm
v14
· a year ago
2024-03-15 5:44pm
v13
· a year ago
2024-03-14 8:21pm
v12
· a year ago
2024-03-13 2:27am
v11
· a year ago
2024-03-13 2:21am
v10
· a year ago
2024-03-13 12:56am
v9
· a year ago
2024-03-13 12:39am
v8
· a year ago
2024-03-12 11:36pm
v7
· a year ago
2024-03-11 10:59pm
v6
· a year ago
2024-03-10 2:16pm
v5
· a year ago
2024-03-09 8:59pm
v4
· a year ago
2024-03-08 1:45am
v3
· a year ago
v27
2024-04-06 12:19pm
Generated on Apr 6, 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.
6916 Total Images
View All ImagesDataset Split
Train Set 69%
4756Images
Valid Set 20%
1382Images
Test Set 11%
778Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
No augmentations were applied.