Dataset Versions
Versions
2024-10-17 9:45am
v33
· 2 months ago
2024-10-17 7:14am
v31
· 2 months ago
2024-10-16 4:14am
v30
· 2 months ago
2024-10-16 1:11am
v29
· 2 months ago
2024-10-15 3:10pm
v28
· 2 months ago
2024-10-15 11:11am
v27
· 2 months ago
2024-10-15 9:10am
v26
· 2 months ago
2024-10-15 7:46am
v25
· 2 months ago
2024-10-15 2:30am
v24
· 2 months ago
2024-10-14 12:08pm
v22
· 2 months ago
2024-10-14 8:34am
v21
· 2 months ago
2024-10-14 4:33am
v19
· 2 months ago
2024-10-14 2:36am
v17
· 2 months ago
2024-10-13 4:17pm
v16
· 2 months ago
2024-10-13 7:57am
v15
· 2 months ago
2024-10-13 5:21am
v14
· 2 months ago
2024-10-13 2:58am
v13
· 2 months ago
2024-10-13 2:34am
v12
· 2 months ago
2024-10-13 12:59am
v11
· 2 months ago
2024-10-12 5:52am
v10
· 2 months ago
2024-10-11 4:09pm
v9
· 2 months ago
2024-10-11 4:06pm
v8
· 2 months ago
2024-10-11 8:53am
v7
· 2 months ago
2024-10-11 2:57am
v6
· 2 months ago
2024-10-11 12:29am
v5
· 2 months ago
2024-10-10 8:52am
v4
· 2 months ago
2024-09-29 9:02am
v3
· 2 months ago
2024-09-29 1:50am
v2
· 2 months ago
2024-09-28 11:52am
v1
· 2 months ago
v33
2024-10-17 9:45am
Generated on Oct 17, 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.
3791 Total Images
View All Images
Dataset Split
Train Set 88%
3318Images
Valid Set 8%
316Images
Test Set 4%
157Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels