Dataset Versions
Versions
A6000-v2
v15
· 3 months ago
A6000-v1
v14
· 3 months ago
2024-12-18 10:44am
v13
· 3 months ago
2024-12-18 10:19am
v12
· 3 months ago
2024-12-18 9:15am
v11
· 3 months ago
2024-12-02 10:42am
v10
· 3 months ago
2024-11-27 9:43pm
v9
· 3 months ago
2024-11-27 9:40pm
v8
· 3 months ago
2024-11-27 6:41pm
v7
· 3 months ago
2024-11-26 2:45am
v6
· 3 months ago
2024-11-13 1:51pm
v5
· 4 months ago
2024-10-07 1:04pm
v4
· 5 months ago
2024-10-07 11:05am
v3
· 5 months ago
2024-10-07 11:04am
v2
· 5 months ago
2024-10-07 9:49am
v1
· 5 months ago
v15
A6000-v2
Generated on Dec 19, 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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10131 Total Images
View All Images
Dataset Split
Train Set 94%
9548Images
Valid Set 4%
388Images
Test Set 2%
195Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 7
Grayscale: Apply to 15% of images
Exposure: Between -12% and +12%
Noise: Up to 1.92% of pixels