Dataset Versions
Versions
2025-01-03 12:53pm
v35
· 2 days ago
89 for easy
v33
· a month ago
89 for easy
v32
· a month ago
87 for easy
v31
· a month ago
91 for easy
v30
· a month ago
89 for easy
v29
· a month ago
90 for easy
v28
· a month ago
84 for easy
v27
· 2 months ago
86 for easy
v26
· 2 months ago
88 for easy
v25
· 2 months ago
2024-11-20 3:02pm
v24
· 2 months ago
v23
v23
· 2 months ago
2024-11-19 4:42pm
v22
· 2 months ago
2024-11-16 12:35pm
v21
· 2 months ago
2024-11-16 11:20am
v20
· 2 months ago
for pipeline testing
v19
· 2 months ago
2024-11-16 9:35am
v18
· 2 months ago
2024-11-15 11:59pm
v17
· 2 months ago
2024-11-15 9:28pm
v16
· 2 months ago
2024-11-15 3:11pm
v14
· 2 months ago
2024-11-14 12-27pm
v13
· 2 months ago
94 for easy
v12
· 2 months ago
2024-11-13 6:41am
v9
· 2 months ago
2024-11-12 9:11am
v7
· 2 months ago
2024-11-09 6:16am
v6
· 2 months ago
baseline
v3
· 2 months ago
2024-10-26 5:12am
v2
· 2 months ago
v35
2025-01-03 12:53pm
Generated on Jan 3, 2025
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.
4819 Total Images
View All ImagesDataset Split
Train Set 88%
4221Images
Valid Set 8%
399Images
Test Set 4%
199Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 0 dropped
Filter by Tag: 0 required, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Exposure: Between -10% and +10%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°