Dataset Versions
Versions
2024-12-20 7:59am
v52
· 2 days ago
2024-12-18 8:50am
v49
· 4 days ago
2024-12-18 2:10am
v48
· 4 days ago
2024-12-17 8:58pm
v46
· 5 days ago
2024-12-15 8:07pm
v41
· 7 days ago
2024-12-15 6:22pm
v40
· 7 days ago
2024-12-10 10:41pm
v32
· 12 days ago
2024-12-10 9:10pm
v31
· 12 days ago
2024-12-06 1:50am
v30
· 16 days ago
2024-12-06 1:02am
v29
· 17 days ago
2024-12-06 12:20am
v28
· 17 days ago
2024-12-05 11:50pm
v27
· 17 days ago
2024-12-05 10:50pm
v26
· 17 days ago
2024-12-05 3:58pm
v25
· 17 days ago
2024-12-02 12:09pm
v24
· 20 days ago
2024-12-02 8:57am
v23
· 20 days ago
2024-10-27 6:16am
v22
· 2 months ago
2024-10-26 5:24am
v21
· 2 months ago
2024-10-25 7:16am
v20
· 2 months ago
2024-10-16 6:06am
v19
· 2 months ago
2024-09-25 8:32am
v16
· 3 months ago
2024-08-29 9-55am
v12
· 4 months ago
2024-08-29 8:58am
v11
· 4 months ago
2024-08-26 4:44pm
v10
· 4 months ago
2024-08-26 3:31pm
v9
· 4 months ago
2024-08-26 2:22pm
v8
· 4 months ago
2024-08-06 6:17pm
v3
· 5 months ago
2024-08-06 4:16pm
v2
· 5 months ago
v11
2024-08-29 8:58am
Generated on Aug 29, 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.
2770 Total Images
View All ImagesDataset Split
Train Set 87%
2422Images
Valid Set 8%
232Images
Test Set 4%
116Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down