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target-fewnj/4 (latest)
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Target
Object Detection
Overview
Images
904
Dataset
7
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2024-02-02 4:47pm
v7
·
a year ago
2024-01-26 2:09pm
v6
·
a year ago
2024-01-26 1:51pm
v5
·
a year ago
2024-01-26 1:46pm
v4
·
a year ago
2024-01-26 1:45pm
v3
·
a year ago
2024-01-26 1:44pm
v2
·
a year ago
2024-01-25 6:16pm
v1
·
a year ago
v3
2024-01-26 1:45pm
Generated on Jan 26, 2024
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Dataset
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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
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1511
Total Images
View All Images
Dataset Split
Train Set
95%
1435
Images
Valid Set
4%
64
Images
Test Set
1%
12
Images
Preprocessing
Modify Classes:
2 remapped, 0 dropped
Augmentations
Outputs per training example:
2
Flip:
Horizontal, Vertical
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