Dataset Versions
Versions
2024-05-17 1:41am
v36
· 7 months ago
2024-05-17 1:40am
v35
· 7 months ago
2024-04-26 12:45pm
v34
· 8 months ago
2024-04-26 12:42pm
v33
· 8 months ago
2024-04-26 12:41pm
v32
· 8 months ago
2024-04-19 5:13am
v30
· 8 months ago
2024-04-19 5:12am
v29
· 8 months ago
2024-04-19 5:07am
v28
· 8 months ago
2024-04-19 5:06am
v27
· 8 months ago
2024-04-19 4:34am
v26
· 8 months ago
2024-04-19 4:33am
v25
· 8 months ago
2024-04-19 4:33am
v24
· 8 months ago
2024-04-19 4:33am
v23
· 8 months ago
2024-04-19 4:32am
v22
· 8 months ago
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v21
· 8 months ago
2024-04-19 4:32am
v20
· 8 months ago
2024-04-19 4:32am
v19
· 8 months ago
2024-04-19 4:31am
v18
· 8 months ago
2024-04-19 4:31am
v17
· 8 months ago
2024-04-19 4:31am
v16
· 8 months ago
2024-04-19 4:31am
v15
· 8 months ago
2024-04-19 4:30am
v14
· 8 months ago
2024-04-19 4:30am
v13
· 8 months ago
2024-04-19 4:30am
v12
· 8 months ago
2024-04-19 4:29am
v11
· 8 months ago
2024-04-19 4:29am
v10
· 8 months ago
2024-04-19 4:29am
v9
· 8 months ago
2024-04-19 4:26am
v8
· 8 months ago
2024-04-19 4:26am
v7
· 8 months ago
2024-04-19 4:25am
v6
· 8 months ago
2024-04-19 4:24am
v5
· 8 months ago
2024-04-19 4:23am
v4
· 8 months ago
2024-04-19 4:23am
v3
· 8 months ago
2024-04-19 4:22am
v2
· 8 months ago
2024-04-19 4:22am
v1
· 8 months ago
v36
2024-05-17 1:41am
Generated on May 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.
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266 Total Images
View All Images
Dataset Split
Train Set 89%
236Images
Valid Set 6%
15Images
Test Set 6%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480
Augmentations
Outputs per training example: 2
Crop: 20% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -35° and +35°