Hugging Face's logo

Spaces:
FrameByFrame
/
README
Running

App Files Community
vijaym commited on
Commit
99dbb8e
·
verified ·
1 Parent(s): c8bba26

Replace image-heavy card with native product layout

Browse files
Files changed (1) hide show
  1. index.html +77 -86
index.html CHANGED
@@ -11,19 +11,12 @@
11
  </head>
12
  <body>
13
  <div align="center">
14
- <img
15
- src="https://huggingface.co/spaces/FrameByFrame/README/resolve/main/assets/framebyframe-ecosystem-hero-v2.jpg"
16
- alt="FrameByFrame logo over a visual map of AI sports analytics, agent harness orchestration, and Edge AI"
17
- width="1200"
18
- />
19
-
20
- <h1>Open models. Real products.</h1>
21
-
22
  <p>
23
- <strong>FrameByFrame</strong> is the open model lab behind production
24
- systems for video intelligence, live sports, and enterprise AI agents.
25
  </p>
26
-
27
  <p>
28
  <a href="https://huggingface.co/FrameByFrame?sort_models=downloads#models">
29
  <strong>Explore all 8 public models →</strong>
@@ -44,86 +37,85 @@
44
  <br />
45
  <br />
46
 
47
- <h2>Three products. One shared intelligence layer.</h2>
48
-
49
  <p>
50
- The models published here move beyond demos: they support privacy,
51
- guardrails, language understanding, and agent capabilities across our
52
- product ecosystem.
53
  </p>
54
 
55
- <hr />
56
-
57
- <a href="https://www.artelligence.ai/">
58
- <img
59
- src="https://huggingface.co/spaces/FrameByFrame/README/resolve/main/assets/framebyframe-vision.jpg"
60
- alt="FrameByFrame computer vision, video analytics, and edge AI"
61
- width="1200"
62
- />
63
- </a>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
 
65
- <h2><a href="https://www.artelligence.ai/">FRAME BY FRAME ↗</a></h2>
66
-
67
- <p><strong>Computer vision · Video analytics · AI agents · Edge AI</strong></p>
68
-
69
- <p>
70
- Our AI-first stack turns video into useful intelligence—from cloud-scale
71
- analytics to low-latency models running directly on edge hardware.
72
- </p>
73
-
74
- <p><a href="https://www.artelligence.ai/"><strong>Visit FrameByFrame at Artelligence →</strong></a></p>
75
-
76
- <hr />
77
-
78
- <a href="https://www.arenalive.ai/">
79
- <img
80
- src="https://huggingface.co/spaces/FrameByFrame/README/resolve/main/assets/arena-live-sports.jpg"
81
- alt="Arena Live edge-AI camera tracking a live racket-sports match"
82
- width="1200"
83
- />
84
- </a>
85
-
86
- <h2><a href="https://www.arenalive.ai/">ARENA LIVE ↗</a></h2>
87
-
88
- <p><strong>Live streaming · Performance analytics · Smart venues</strong></p>
89
-
90
- <p>
91
- Arena Live turns any court into a smart arena with edge-AI streaming,
92
- player insights, automated highlights, and venue intelligence.
93
- </p>
94
-
95
- <p><a href="https://www.arenalive.ai/"><strong>Explore Arena Live →</strong></a></p>
96
-
97
- <hr />
98
-
99
- <a href="https://aigentux.com/">
100
- <img
101
- src="https://huggingface.co/spaces/FrameByFrame/README/resolve/main/assets/aigentux-harness.jpg"
102
- alt="Aigentux enterprise AI agent orchestration harness"
103
- width="1200"
104
- />
105
- </a>
106
-
107
- <h2><a href="https://aigentux.com/">AigentUX ↗</a></h2>
108
-
109
- <p><strong>Agent harness · Orchestration · Tools and memory · White-label</strong></p>
110
-
111
- <p>
112
- Aigentux is a customizable enterprise agent harness for building,
113
- orchestrating, and deploying AI assistants across industries.
114
- </p>
115
-
116
- <p><a href="https://aigentux.com/"><strong>Explore Aigentux →</strong></a></p>
117
-
118
- <hr />
119
 
120
- <h2>What you’ll find in this organization</h2>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
121
 
122
- <ul>
123
- <li><strong>Trust and guardrails:</strong> prompt-injection defense, content safety, and multilingual moderation.</li>
124
- <li><strong>Privacy and PII:</strong> production-grade Korean PII detection and redaction.</li>
125
- <li><strong>Language and tool use:</strong> 100+ language identification and function-calling adapters.</li>
126
- </ul>
127
 
128
  <div align="center">
129
  <p>
@@ -131,7 +123,6 @@
131
  <strong>Browse the FrameByFrame model collection →</strong>
132
  </a>
133
  </p>
134
-
135
  <p><small>Models in motion · Built by Artelligence Foundry in Bengaluru, India</small></p>
136
  </div>
137
  </body>
 
11
  </head>
12
  <body>
13
  <div align="center">
14
+ <h1>FRAMEBYFRAME</h1>
15
+ <p><strong>Open models for intelligence that leaves the lab.</strong></p>
 
 
 
 
 
 
16
  <p>
17
+ The shared model layer behind video intelligence, AI sports analytics,
18
+ Edge AI, and enterprise agent systems.
19
  </p>
 
20
  <p>
21
  <a href="https://huggingface.co/FrameByFrame?sort_models=downloads#models">
22
  <strong>Explore all 8 public models →</strong>
 
37
  <br />
38
  <br />
39
 
40
+ <h2>One model layer. Three products.</h2>
 
41
  <p>
42
+ FrameByFrame models move into real products through three connected
43
+ directions: vision and edge intelligence, sports analytics, and agent
44
+ harness infrastructure.
45
  </p>
46
 
47
+ <table>
48
+ <thead>
49
+ <tr>
50
+ <th>01 / VIDEO + EDGE</th>
51
+ <th>02 / SPORTS ANALYTICS</th>
52
+ <th>03 / AGENT HARNESS</th>
53
+ </tr>
54
+ </thead>
55
+ <tbody>
56
+ <tr>
57
+ <td valign="top">
58
+ <h3><a href="https://www.artelligence.ai/">FRAME BY FRAME ↗</a></h3>
59
+ <p><strong>Computer vision · Video analytics · Edge AI</strong></p>
60
+ <p>
61
+ An AI-first stack that turns video into useful intelligence, from
62
+ cloud-scale analytics to low-latency edge inference.
63
+ </p>
64
+ <p><a href="https://www.artelligence.ai/">Visit Artelligence →</a></p>
65
+ </td>
66
+ <td valign="top">
67
+ <h3><a href="https://www.arenalive.ai/">ARENA LIVE ↗</a></h3>
68
+ <p><strong>Live streaming · Player insights · Smart venues</strong></p>
69
+ <p>
70
+ An edge-AI sports platform for live matches, automated highlights,
71
+ performance analytics, and venue intelligence.
72
+ </p>
73
+ <p><a href="https://www.arenalive.ai/">Explore Arena Live →</a></p>
74
+ </td>
75
+ <td valign="top">
76
+ <h3><a href="https://aigentux.com/">AigentUX ↗</a></h3>
77
+ <p><strong>AI agents · Orchestration · Tools + memory</strong></p>
78
+ <p>
79
+ A white-label harness to build, orchestrate, and deploy
80
+ customizable enterprise AI assistants.
81
+ </p>
82
+ <p><a href="https://aigentux.com/">Explore Aigentux →</a></p>
83
+ </td>
84
+ </tr>
85
+ </tbody>
86
+ </table>
87
 
88
+ <br />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
89
 
90
+ <h2>The shared model layer</h2>
91
+ <table>
92
+ <thead>
93
+ <tr>
94
+ <th>MODEL FAMILY</th>
95
+ <th>WHAT IT UNLOCKS</th>
96
+ <th>USED ACROSS</th>
97
+ </tr>
98
+ </thead>
99
+ <tbody>
100
+ <tr>
101
+ <td><strong>Trust + guardrails</strong></td>
102
+ <td>Prompt-injection defense, content safety, multilingual moderation</td>
103
+ <td>Agents · Video · Sports</td>
104
+ </tr>
105
+ <tr>
106
+ <td><strong>Privacy + PII</strong></td>
107
+ <td>Korean PII detection and production redaction</td>
108
+ <td>Edge · Agents · Enterprise</td>
109
+ </tr>
110
+ <tr>
111
+ <td><strong>Language + tool use</strong></td>
112
+ <td>100+ language identification and function-calling adapters</td>
113
+ <td>Aigentux · Applications</td>
114
+ </tr>
115
+ </tbody>
116
+ </table>
117
 
118
+ <br />
 
 
 
 
119
 
120
  <div align="center">
121
  <p>
 
123
  <strong>Browse the FrameByFrame model collection →</strong>
124
  </a>
125
  </p>
 
126
  <p><small>Models in motion · Built by Artelligence Foundry in Bengaluru, India</small></p>
127
  </div>
128
  </body>