car and person Dataset
Versions
2024-06-13 2:14am
v9
· 20 days ago
2024-06-13 1:24am
v8
· 20 days ago
2024-06-10 9:52am
v7
· 23 days ago
2024-06-10 9:46am
v6
· 23 days ago
2024-06-10 9:40am
v5
· 23 days ago
2024-06-10 9:39am
v4
· 23 days ago
2024-06-03 2:56pm
v3
· a month ago
2024-05-23 7:57pm
v2
· a month ago
2024-04-25 9:22pm
v1
· 2 months ago
v6
2024-06-10 9:46am
Generated on Jun 10, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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1300 Total Images
View All Images
Dataset Split
Train Set 92%
1200Images
Valid Set 8%
100Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Cutout: 3 boxes with 10% size each
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