Dataset Versions
Versions
raw
v50
· 2 years ago
v17
v49
· 2 years ago
v16
v47
· 2 years ago
v15
v46
· 2 years ago
v14
v45
· 2 years ago
v13
v44
· 2 years ago
v12
v40
· 2 years ago
V11
v38
· 2 years ago
v10
v37
· 2 years ago
v9
v36
· 2 years ago
v8
v35
· 2 years ago
v7
v30
· 2 years ago
V6_benchmark
v27
· 2 years ago
v5
v16
· 2 years ago
v4_extraNullImages
v15
· 2 years ago
V4_withTiling_fixedLabels_faulty
v14
· 2 years ago
V3_withoutTiling
v13
· 2 years ago
V2
v8
· 2 years ago
v37
v10
Generated on Oct 12, 2022
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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2365 Total Images
View All Images
Dataset Split
Train Set 87%
2058Images
Valid Set 10%
239Images
Test Set 3%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 70% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%